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SotA/Computer Vision/Image Classification

Image Classification

691 benchmarks10419 papers

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

<span class="description-source">Source: Metamorphic Testing for Object Detection Systems </span>

Benchmarks

Image Classification on ImageNet

GFLOPsTop 1 AccuracyTop 5 AccuracyAccuracy (%)ARINumber of paramsHardware BurdenOperations per network passNumber of Params

Image Classification on CIFAR-10

Percentage correctTop-1 AccuracyAccuracyAll accuracy (50% Labeled)Novel accuracy (50% Labeled)Seen accuracy (50% Labeled)All accuracy (10% Labeled)Novel accuracy (10% Labeled)Seen accuracy (10% Labeled)Top 1 AccuracyParametersF1Cross Entropy LossAUCROCTest AccuracyAccuracy

Image Classification on CIFAR-100

Percentage correctAll accuracy (10% Labeled)Novel accuracy (10% Labeled)Seen accuracy (10% Labeled)AccuracyAll accuracy (50% Labeled)Novel accuracy (50% Labeled)Seen accuracy (50% Labeled)PARAMSTop 1 AccuracyTest Accuracy

Image Classification on Mini-Imagenet 5-way (1-shot)

Accuracy

Image Classification on Mini-Imagenet 5-way (5-shot)

Accuracy

Image Classification on STL-10

Percentage correctAccuracyAccuracy FLOPSPARAMS

Image Classification on ObjectNet

Top-1 AccuracyTop-5 AccuracyARIAccuracy (%)

Image Classification on ImageNet-LT

Top-1 Accuracy

Image Classification on Tiered ImageNet 5-way (5-shot)

Accuracy

Image Classification on CIFAR-100-LT (ρ=100)

Error Rate

Image Classification on MNIST

Percentage errorAccuracyTrainable ParametersCross Entropy LossEpochsTop 1 Accuracy

Image Classification on Tiered ImageNet 5-way (1-shot)

Accuracy

Image Classification on SVHN

Percentage errorPercentage correctAcc# of clusters (k)Accuracy

Image Classification on CIFAR-10-LT (ρ=10)

Error Rate

Image Classification on ImageNet-1K (with DeiT-S)

Top 1 AccuracyGFLOPs

Image Classification on CIFAR-FS 5-way (5-shot)

Accuracy

Image Classification on mini WebVision 1.0

Top-1 AccuracyImageNet Top-1 AccuracyImageNet Top-5 AccuracyTop-5 AccuracyTop 1 Accuracy

Image Classification on CIFAR-FS 5-way (1-shot)

Accuracy

Image Classification on Flowers-102

AccuracyFLOPSPer-Class AccuracyPARAMS

Image Classification on VTAB-1k

Top-1 Accuracy

Image Classification on CUB 200 5-way 1-shot

Accuracy

Image Classification on CIFAR-10, 4000 Labels

Percentage error

Image Classification on CUB 200 5-way 5-shot

Accuracy

Image Classification on ImageNet V2

Top 1 Accuracy

Image Classification on CIFAR-100-LT (ρ=10)

Error Rate

Image Classification on CUB-200-2011

AccuracyTask Accuracy (%)Concept Accuracy (%)

Image Classification on Places-LT

Top-1 AccuracyTop 1 Accuracy

Image Classification on Stanford Cars

AccuracyFLOPSPARAMS

Image Classification on CIFAR-10-LT (ρ=100)

Error Rate

Image Classification on CIFAR-10N-Aggregate

Accuracy (mean)

Image Classification on Kuzushiji-MNIST

AccuracyErrorTrainable Parameters

Image Classification on CIFAR-100-LT (ρ=50)

Error Rate

Image Classification on CIFAR-10N-Worst

Accuracy (mean)

Image Classification on Fashion-MNIST

AccuracyPercentage errorTrainable ParametersNMIPower consumption

Image Classification on CIFAR-100N

Accuracy (mean)

Image Classification on CIFAR-10N-Random1

Accuracy (mean)

Image Classification on CIFAR-10N-Random2

Accuracy (mean)

Image Classification on CIFAR-10N-Random3

Accuracy (mean)

Image Classification on FC100 5-way (1-shot)

Accuracy

Image Classification on FC100 5-way (5-shot)

Accuracy

Image Classification on ImageNet-1K (with DeiT-T)

Top 1 AccuracyGFLOPs

Image Classification on Meta-Dataset

Accuracy

Image Classification on OmniBenchmark

Average Top-1 Accuracy

Image Classification on Oxford-IIIT Pets

AccuracyPer-Class AccuracyTop-1 Error RateFLOPSPARAMS

Image Classification on iNaturalist 2019

Top-1 AccuracyNumber of params

Image Classification on EMNIST-Balanced

AccuracyTrainable ParametersNMI

Image Classification on ANIMAL

AccuracyNetworkImageNet Pretrained

Image Classification on ImageNet-1K (With LV-ViT-S)

Top 1 AccuracyGFLOPs

Image Classification on RESISC45

Top 1 AccuracyF1zero-shot Acc

Image Classification on ColonINST-v1 (Seen)

Accuray

Image Classification on ColonINST-v1 (Unseen)

Accuray

Image Classification on DF20

Top-1Top-3F1 - macro

Image Classification on DF20 - Mini

Top-1Top-3F1 - macro

Image Classification on cifar-100, 10000 Labels

Percentage error

Image Classification on CIFAR-10, 250 Labels

Percentage errorTop-1 accuracy %

Image Classification on EuroSAT

Accuracy (%)

Image Classification on MIMIC-CXR-LT

Balanced Accuracy

Image Classification on NIH-CXR-LT

Balanced Accuracy

Image Classification on OMNIGLOT - 1-Shot, 5-way

Accuracy

Image Classification on CIFAR-20

AccuracyNMIARI

Image Classification on Food-101

AccuracyAccuracy (%)Accuracy (% )Top 1 AccuracyPARAMSFLOPS

Image Classification on Im2GPS3k

City level (25 km)Region level (200 km)Country level (750 km)Continent level (2500 km)Street level (1 km)Median Error (km)Training Images

Image Classification on Mini-Imagenet 10-way (1-shot)

Accuracy

Image Classification on Mini-Imagenet 10-way (5-shot)

Accuracy

Image Classification on SVHN, 1000 labels

Accuracy

Image Classification on CIFAR-10, 40 Labels

Percentage error

Image Classification on COCO-MLT

Average mAP

Image Classification on Meta-Dataset Rank

Mean Rank

Image Classification on SVHN, 250 Labels

Accuracy

Image Classification on Tiered ImageNet 10-way (1-shot)

Accuracy

Image Classification on Tiered ImageNet 10-way (5-shot)

Accuracy

Image Classification on VOC-MLT

Average mAP

Image Classification on iNaturalist 2018

Top-1 AccuracyNumber of params

Image Classification on Dirichlet Mini-Imagenet (5-way, 1-shot)

1:1 Accuracy

Image Classification on Dirichlet Mini-Imagenet (5-way, 5-shot)

1:1 Accuracy

Image Classification on EMNIST-Letters

Accuracy

Image Classification on FGVC Aircraft

AccuracyTop-1 Error RatePARAMSFLOPSTop-1

Image Classification on Mini-ImageNet-CUB 5-way (1-shot)

Accuracy

Image Classification on iNaturalist

Top 1 AccuracyTop 3 ErrorOverallTop 5 Accuracy

Image Classification on DTD

Accuracy

Image Classification on Im2GPS

City level (25 km)Region level (200 km)Country level (750 km)Continent level (2500 km)Street level (1 km)Reference imagesMedian Error (km)Training images

Image Classification on OMNIGLOT - 5-Shot, 5-way

Accuracy

Image Classification on Places205

Top 1 Accuracy

Image Classification on TCMP-300

Accuracy (% )

Image Classification on DEIC Benchmark

Average Balanced Accuracy (across datasets)

Image Classification on Pavia University

Overall AccuracyOA@15perclassAA@200Kappa@200OA@200Kappa@1%AA@5%perclassKappa@5%perclassOA@5%perclassAA@1%perclassKappa@1%perclassOA@1%perclass

Image Classification on Bongard-HOI

Avg. Accuracy

Image Classification on CIFAR-10, 1000 Labels

AccuracyAccuracy (%)

Image Classification on CIFAR-100, 400 Labels

Percentage error

Image Classification on CINIC-10

AccuracyFLOPSPARAMS

Image Classification on Dirichlet Tiered-Imagenet (5-way, 1-shot)

1:1 Accuracy

Image Classification on Dirichlet Tiered-Imagenet (5-way, 5-shot)

1:1 Accuracy

Image Classification on Oxford-IIIT Pet Dataset

AccuracyPARAMSFLOPSTop-1 Error Rate

Image Classification on Tiny ImageNet Classification

Validation Acc

Image Classification on Tobacco-3482

AccuracyMemory

Image Classification on CIFAR-10-LT (ρ=50)

Error Rate

Image Classification on CIFAR-100, 2500 Labels

Percentage error

Image Classification on Dirichlet CUB-200 (5-way, 1-shot)

1:1 Accuracy

Image Classification on Dirichlet CUB-200 (5-way, 5-shot)

1:1 Accuracy

Image Classification on GasHisSDB

AccuracyPrecisionF1-Score

Image Classification on ImageNet - 1% labeled data

Top 5 AccuracyTop 1 AccuracyNumber of params

Image Classification on ImageNet - 1-shot

Top 1 Accuracy

Image Classification on ImageNet - 5-shot

Top 1 Accuracy

Image Classification on ImageNet-FS (2-shot, novel)

Top-5 Accuracy (%)

Image Classification on ImageNet-FS (5-shot, all)

Top-5 Accuracy (%)

Image Classification on Indian Pines

Overall AccuracyOA@15perclassKappaAA@10%perclassKappa@10%perclassOA@10%perclassAA@5%perclassKappa@5%perclassOA@5%perclassF1@10%perclass

Image Classification on Mini-ImageNet-CUB 5-way (5-shot)

Accuracy

Image Classification on EMNIST-Digits

Accuracy (%)Accuracy

Image Classification on ImageNet - 10% labeled data

Top 5 AccuracyTop 1 AccuracyNumber of params

Image Classification on ImageNet - 10-shot

Top 1 Accuracy

Image Classification on ImageNet-FS (1-shot, novel)

Top-5 Accuracy (%)

Image Classification on OMNIGLOT - 1-Shot, 20-way

Accuracy

Image Classification on STL-10, 1000 Labels

Accuracy

Image Classification on smallNORB

Classification Error

Image Classification on 75 Superpixel MNIST

Classification Error

Image Classification on BigEarthNet (official test set)

F1 ScoremAP (micro)

Image Classification on CIFAR-10, 500 Labels

Accuracy (%)Accuracy

Image Classification on Caltech-101

AccuracyTop-1 Error Rate

Image Classification on Colored-MNIST(with spurious correlation)

Accuracy

Image Classification on ImageNet-GLT

Accuracy

Image Classification on MS-COCO-2014

Average mAP

Image Classification on Mini-Imagenet 20-way (1-shot)

Accuracy

Image Classification on Mini-Imagenet 20-way (5-shot)

Accuracy

Image Classification on PASCAL VOC 2007

Average mAPAccuracy

Image Classification on SVHN, 500 Labels

Accuracy

Image Classification on Stanford Cars 5-way (1-shot)

Accuracy

Image Classification on Stanford Cars 5-way (5-shot)

Accuracy

Image Classification on Stanford Dogs 5-way (5-shot)

Accuracy

Image Classification on YFCC26k

Street level (1 km)City level (25 km)Region level (200 km)Country level (750 km)Continent level (2500 km)Median Error (km)Training Images

Image Classification on iWildCam2020-WILDS

Accuracy (Top-1)

Image Classification on noise padded CIFAR-10

% Test Accuracy

Image Classification on AWA-LT

Per-Class AccuracyLong-Tailed Accuracy

Image Classification on BigEarthNet

mAP (micro)FScoremAP (macro)official split

Image Classification on Bird-225

Accuracy

Image Classification on CIFAR-10, 100 Labels

Accuracy (%)Percentage error

Image Classification on CUB-LT

Per-Class AccuracyLong-Tailed Accuracy

Image Classification on Clothing1M

Test AccuracyAccuracy

Image Classification on GWS15k

Street level (1 km)City level (25 km)Region level (200 km)Country level (750 km)Continent level (2500 km)Median Error (km)

Image Classification on ImageNet-LT-d

Per-Class Accuracy

Image Classification on Mini-Imagenet 5-way (10-shot)

Accuracy

Image Classification on Places365

Top 1 Accuracy

Image Classification on Red MiniImageNet 20% label noise

AccuracyTest Accuracy

Image Classification on Red MiniImageNet 40% label noise

AccuracyTest Accuracy

Image Classification on Red MiniImageNet 80% label noise

AccuracyTest Accuracy

Image Classification on SUN-LT

Per-Class AccuracyLong-Tailed Accuracy

Image Classification on SUN397

Accuracy

Image Classification on ciFAIR-10 50 samples per class

Accuracy

Image Classification on 10 Monkey Species

Accuracy

Image Classification on CIFAR-10, 100 Labels (OpenSet, 6/4)

Accuracy

Image Classification on CIFAR-10, 2000 Labels

Accuracy

Image Classification on CIFAR-10, 400 Labels (OpenSet, 6/4)

Accuracy

Image Classification on CIFAR-10, 50 Labels (OpenSet, 6/4)

Accuracy

Image Classification on CUB

Classification AccuracyExplanation AccuracyExplanation complexityExplanation extraction time

Image Classification on CUB 200 50-way (0-shot)

Accuracy

Image Classification on CUB-200-2011, 30 samples per class

Accuracy

Image Classification on Caltech-256

Accuracy

Image Classification on ISIC2018

AccuracyF1

Image Classification on ImageNet-100 (TEMI Split)

Novel accuracy (50% Labeled)Seen accuracy (50% Labeled)All accuracy (50% Labeled)Percentage correctAll accuracy (10% Labeled)Novel accuracy (10% Labeled)Seen accuracy (10% Labeled)Params

Image Classification on JFT-300M

prec@1

Image Classification on MAMe

Acc

Image Classification on N-MNIST

Accuracy

Image Classification on ObjectNet (Bounding Box)

Top 5 Accuracy

Image Classification on Oracle-MNIST

AccuracyTrainable Parameters

Image Classification on Places365-Standard

Top 1 Accuracy

Image Classification on Railway Track Misalignment Detection Image Dataset

Classification AccuracyEpochsLearning RateBatch Size

Image Classification on Red MiniImageNet 60% label noise

AccuracyTest Accuracy

Image Classification on SAT-4

Accuracy

Image Classification on STL-10, 40 Labels

Accuracy

Image Classification on Visual Genome

Average mAP

Image Classification on Visual Wake Words

Accuracy

Image Classification on YFCC4k

Street (1 km)City (25 km)Region (200 km)Country (750 km)Continent (2500 km)Median Error (km)

Image Classification on cifar10, 250 Labels

Percentage correct

Image Classification on BigEarthNet-S1 (official test set)

mAP (micro)

Image Classification on BreakHis

Average Test Accuracy over all magnifications

Image Classification on CIFAR-100, 1000 Labels

AccuracyPercentage correct

Image Classification on Caltech-256 5-way (1-shot)

Accuracy

Image Classification on CelebA 64x64

Accuracy

Image Classification on Clothing1M (using clean data)

Accuracy1:1 Accuracy

Image Classification on EGTEA

Average PrecisionAverage Recall

Image Classification on EarlyNSD

Test accuracyTest f1

Image Classification on EuroSAT 50 samples per class

Accuracy

Image Classification on EuroSAT-SAR

Overall Accuracy

Image Classification on FlickrLogos-32

Accuracy

Image Classification on Food-101N

Accuracy

Image Classification on ImageNet 50 samples per class

1:1 Accuracy

Image Classification on ImageNet-FS (5-shot, novel)

Top-5 Accuracy (%)

Image Classification on Imbalanced CUB-200-2011

AccuracyAverage Per-Class Accuracy

Image Classification on Kennedy Space Center

OA@15perclassOverall AccuracyAA@10%perclassKappa@10%perclassOA@10%perclassF1@10%perclass

Image Classification on Kvasir

AccuracyF1

Image Classification on MSCOCO

mAPmean average precision

Image Classification on N-Caltech 101

Accuracy

Image Classification on ORBIT Clutter Video Evaluation

Frame accuracy

Image Classification on SAT-6

Accuracy

Image Classification on SIPaKMeD

Accuracy

Image Classification on Sequential CIFAR-10

Unpermuted Accuracy

Image Classification on Sequential MNIST

Permuted AccuracyUnpermuted Accuracy

Image Classification on Stanford Dogs 5-way (1-shot)

Accuracy

Image Classification on Tiny-ImageNet

Top 1 AccuracyTop-1 Accuracy

Image Classification on AwA2

Task Accuracy (%)Concept Accuracy (%)

Image Classification on CASI University of Houston

Overall AccuracyAverage AccuracyKappaAA@disjointKappa@disjointOA@disjoint

Image Classification on CIFAR-10 (250 Labels, ImageNet-100 Unlabeled)

Accuracy

Image Classification on CIFAR-10 (40 Labels, ImageNet-100 Unlabeled)

Accuarcy

Image Classification on CIFAR-10 (4000 Labels, ImageNet-100 Unlabeled)

Accuracy

Image Classification on CIFAR-10, 30 Labels

Percentage error

Image Classification on CIFAR-10, 40% Symmetric Noise

Percentage correct

Image Classification on CIFAR-10, 60% Symmetric Noise

Percentage correct

Image Classification on CIFAR-10, 80 Labels

Percentage error

Image Classification on CIFAR-10-LT (ρ=200)

Error Rate

Image Classification on CIFAR-100 (10000 Labels, ImageNet-100 Unlabeled)

Accuracy

Image Classification on CIFAR-100 (250 Labels, ImageNet-100 Unlabeled)

Accuarcy

Image Classification on CIFAR-100 (400 Labels, ImageNet-100 Unlabeled)

Accuracy

Image Classification on CIFAR-100, 40% Symmetric Noise

Percentage correct

Image Classification on CIFAR-100, 5000Labels

Percentage correct

Image Classification on CIFAR-100-LT (ρ=200)

Error Rate

Image Classification on CIFAR100 5-way (1-shot)

Accuracy

Image Classification on CLEVR/Count

Top 1 Accuracy

Image Classification on CLEVR/Dist

Top 1 Accuracy

Image Classification on Causal3DIdent

Accuracy

Image Classification on CelebA

Task Accuracy (%)Concept Accuracy (%)

Image Classification on Certificate Verification

Percentage correctTop-1 Accuracy

Image Classification on DeepWeeds, 99 Labels

Percentage error

Image Classification on EuroSAT, 100 Labels

Percentage error

Image Classification on EuroSAT, 20 Labels

Percentage error

Image Classification on FGVC-Aircraft

Accuracy

Image Classification on FoodX-251

Accuracy (%)

Image Classification on Fruits-360

Accuracy (%)Accuracy

Image Classification on Galaxy10 DECals

PARAMS (M)Top-1 Accuracy (%)

Image Classification on Gaze-CIFAR-10

1:1 Accuracy

Image Classification on HErlev

Accuracy

Image Classification on ISIC 2018

F1

Image Classification on ImageNet (1-shot)

Top-5 Accuracy

Image Classification on ImageNet-FS (1-shot, all)

Top-5 Accuracy (%)

Image Classification on ImageNet-FS (10-shot, all)

Top-5 Accuracy (%)

Image Classification on ImageNet-FS (10-shot, novel)

Top-5 Accuracy (%)

Image Classification on ImageNet-FS (2-shot, all)

Top-5 Accuracy (%)

Image Classification on ImageNet-Hard

Accuracy (%)

Image Classification on Imagenette

Accuracy

Image Classification on Imagenette, 100 Labels

Percentage error

Image Classification on Imagenette, 20 Labels

Percentage error

Image Classification on Intel Image Classification

Accuracy

Image Classification on LIMUC

Quadratic Weighted Kappa

Image Classification on Large Labelled Logo Dataset (L3D)

Eval F1

Image Classification on MNIST Large Scale dataset

Average Accuracy

Image Classification on Mini-ImageNet - 1-Shot Learning

Accuracy

Image Classification on Mini-ImageNet to CUB - 5 shot learning

Accuracy

Image Classification on Mini-ImageNet, 4000 Labels

Accuracy

Image Classification on Noisy Bangla Characters

Accuracy

Image Classification on Noisy Bangla Numeral

Accuracy

Image Classification on Noisy MNIST (AWGN)

Accuracy

Image Classification on Noisy MNIST (Contrast)

Accuracy

Image Classification on Noisy MNIST (Motion)

Accuracy

Image Classification on OMNIGLOT - 5-Shot, 20-way

Accuracy

Image Classification on OMNIGLOT-EMNIST 5-way (1-shot)

Accuracy

Image Classification on OMNIGLOT-EMNIST 5-way (5-shot)

Accuracy

Image Classification on ORBIT Clean Video Evaluation

Frame accuracy

Image Classification on ObjectNet (ImageNet classes)

Top 1 Accuracy

Image Classification on OpenStreetView-5M

Geoscore

Image Classification on Oxford 102 Flowers

AccuracyTop-1 Error RateFLOPSPARAMSTop 1 Accuracy

Image Classification on PlantVillage

AccuracyF1Testing Ratio

Image Classification on RawRipe Dataset

Classification Accuracy

Image Classification on STL-10 (1000 Labels, ImageNet-100 Unlabeled)

Accuracy

Image Classification on SVHN (1000 Labels, ImageNet-100 Unlabeled)

Accuracy

Image Classification on SVHN (250 Labels, ImageNet-100 Unlabeled)

Accuracy

Image Classification on SVHN (40 Labels, ImageNet-100 Unlabeled)

Accuracy

Image Classification on SVHN, 40 Labels

Percentage error

Image Classification on Salinas

OA@200AA@200Kappa@200Overall Accuracy

Image Classification on VizWiz-Classification

Accuracy

Image Classification on WebVision

Top 1 AccuracyTop 5 Accuracy

Image Classification on WebVision-1000

Top-1 AccuracyImageNet Top-1 AccuracyImageNet Top-5 AccuracyTop-5 Accuracy

Image Classification on cifar-10, 10 Labels

Accuracy (Test)

Image Classification on AIDER

Test F1 score

Image Classification on AIDERV2

Test F1 score

Image Classification on AIP

Top 1 Accuracy - Verb

Image Classification on ATIS

F1 - macro

Image Classification on AWA1 - 0-Shot

Accuracy

Image Classification on AWA2 - 0-Shot

Accuracy

Image Classification on AmsterTime

Accuracy

Image Classification on BigEarthNet-10%

mean average precision

Image Classification on Botswana

Overall Accuracy

Image Classification on Bottles

mAP

Image Classification on CARS196

Accuracy

Image Classification on CIFAR-10, 20 Labels

Percentage error

Image Classification on CIFAR-100 (alpha=0, 20 clients per round)

ACC@1-100Clients

Image Classification on CIFAR-100, 200 Labels

Percentage error

Image Classification on CIFAR-100, 4000 Labels

Accuracy

Image Classification on CIFAR-100, 5000 Labels

Accuracy (%)

Image Classification on CIFAR-100, 60% Symmetric Noise

Percentage correct

Image Classification on CIFAR-100C

Percentage correct

Image Classification on CIFAR-10N

Accuracy

Image Classification on CIFAR-FS - 5-Shot Learning

Accuracy

Image Classification on COCO-WAN

mIOU

Image Classification on CUB 200 5-way

Accuracy

Image Classification on CUB-200-2011 - 0-Shot

AP50Top-1 Accuracy

Image Classification on CUB-200-2011 5-way (1-shot)

Accuracy

Image Classification on CUB-200-2011 5-way (5-shot)

Accuracy

Image Classification on CUB-200-2011, 5 samples per class

Accuracy

Image Classification on Caltech-256 5-way (5-shot)

Accuracy

Image Classification on Caltech101

Harmonic mean

Image Classification on CelebA-5

Error Rate

Image Classification on Chaoyang

AccuracyACCURACY

Image Classification on CheXpert

Task Accuracy (%)Concept Accuracy (%)

Image Classification on Chest X-ray images

Accuracy

Image Classification on Con-Text

mAP

Image Classification on Cross-View Time Dataset

2-Class AccuracyAUC

Image Classification on Cross-View Time Dataset (Cross-Camera Split)

2-Class AccuracyAUC

Image Classification on DIB-10K

Accuracy

Image Classification on DVS128 Gesture

Accuracy

Image Classification on Deep PCB

Accuracy (%)

Image Classification on EMNIST-Byclass

Accuracy

Image Classification on EMNIST-Bymerge

Accuracy

Image Classification on ESC-50

Top 1 Accuracy

Image Classification on FC100 5-way (10-shot)

Accuracy

Image Classification on FEMNIST

Accuracy

Image Classification on FMA

CNN

Image Classification on FMD (materials)

Accuracy (%)

Image Classification on Flower102

Accuracy

Image Classification on Flowers (Tensorflow)

Accuracy

Image Classification on Flowers-102 - 0-Shot

AP50Accuracy

Image Classification on Fracture/Normal Shoulder Bone X-ray Images on MURA

Cohen’s Kappa score AUC scoreTest Accuracy

Image Classification on GBCU

10 fold Cross validation

Image Classification on GTSRB

F1

Image Classification on Herbarium 2021 Half–Earth

Test F1 score

Image Classification on Herbarium 2022

Test F1 score (private)

Image Classification on Houston

OA@15perclassOverall AccuracyAA@10%perclassAA@disjointF1@10%perclassKappa@10%perclassKappa@disjointOA@10%perclassOA@disjoint

Image Classification on ISBNet

Macro F1

Image Classification on ImageNet ReaL

AccuracyParamsTop 1 AccuracyNumber of params

Image Classification on ImageNet-10

Top 1 AccuracyARI

Image Classification on ImageNet-100 (Class-IL, 5T)

Top 1 Accuracy

Image Classification on ImageNet-32

Top 1 Error

Image Classification on ImageNet-Sketch

Accuracy

Image Classification on KITTI-Dist

Top 1 Accuracy

Image Classification on KMNIST

Accuracy

Image Classification on KTH-TIPS2

Accuracy (%)

Image Classification on LabelMe

Test Accuracy

Image Classification on LeafNet

Accuracy (Top-1)

Image Classification on Lot-insts

Macro-F1

Image Classification on MNIST-rot-12

Test Error

Image Classification on MNIST-rot-12k (DA)

Test Error

Image Classification on Mini-ImageNet, 1000 Labels

Accuracy

Image Classification on Mini-ImageNet, 10000 Labels

Accuracy

Image Classification on MultiMNIST

Percentage error

Image Classification on NABirds

Accuracy

Image Classification on NASA Worldview

DSC

Image Classification on NCT-CRC-HE-100K

F1

Image Classification on No Background RGB Arabic Alphabets Sign Language Dataset

Validation Accuracy

Image Classification on Noisy MNIST

Accuracy

Image Classification on OMNIGLOT - 1-Shot, 1000 way

Accuracy

Image Classification on OMNIGLOT - 1-Shot, 423 way

Accuracy

Image Classification on OMNIGLOT - 5-Shot, 1000 way

Accuracy

Image Classification on OMNIGLOT - 5-Shot, 423 way

Accuracy

Image Classification on Oxford 102 Flower

ACCURACY

Image Classification on PRImA

Percentage correct

Image Classification on Persian-ATIS

F1 Macro

Image Classification on Pets SAM

Accuracy

Image Classification on PlantDoc

AccuracyPARAMS

Image Classification on QMNIST

Accuracy (%)Accuracy

Image Classification on RASTA

Top-1 Accuracy

Image Classification on RGB Arabic Alphabet Sign Language (AASL) dataset

Validation Accuracy

Image Classification on RVL-CDIP

AccuracyParameters

Image Classification on SNIPS

F1 Macro

Image Classification on SOP

Recall@1

Image Classification on STL-10, 5000 Labels

Accuracy

Image Classification on SVHN, 2000 Labels

Accuracy

Image Classification on SVHN, 4000 Labels

Accuracy

Image Classification on So2Sat LCZ42

Accuracy

Image Classification on Split CIFAR-10

Percentage Average accuracy - 5 tasks

Image Classification on Split Fashion M-NIST

Percentage Average accuracy - 5 tasks

Image Classification on Split M-NIST

Percentage Average accuracy - 5 tasks

Image Classification on Sports10

Validation Accuracy

Image Classification on Stanford Dogs

Accuracy

Image Classification on Stanford Online Products

Accuracy

Image Classification on Surrey ASL

Accuracy (%)

Image Classification on Training and validation dataset of capsule vision 2024 challenge.

Total Accuracy

Image Classification on UT Zappos50K

Top 1 Accuracy

Image Classification on VOC2007

MAP

Image Classification on aPY

Task Accuracy (%)Concept Accuracy (%)

Image Classification on aPY - 0-Shot

Accuracy

Image Classification on cats_vs_dogs

Accuracy

Image Classification on cifar-10,4000

Percentage error

Image Classification on cifar10

Accuracy

Image Classification on cifar100

1:1 Accuracy

Image Classification on delete

Top 1 Accuracy

Image Classification on iCassava'19

Top-1 Accuracy

Image Classification on iNat2021-mini

Top 1 Accuracy

Image Classification on iNaturalist (227-way multi-shot)

Accuracy

Image Classification on iNaturalist 2018 - 1-shot

Top 1 Accuracy

Image Classification on iNaturalist 2018 - 10-shot

Top 1 Accuracy

Image Classification on iNaturalist 2018 - 5-shot

Top 1 Accuracy

Image Classification on imagenet-1k

Top 1 Accuracy

Image Classification on mini-ImageNet - 100-Way

Accuracy

Image Classification on mini-ImageNet-LT

Error Rate

Image Classification on miniImagenet → CUB (5-way 1-shot)

Accuracy

Image Classification on miniImagenet → CUB (5-way 5-shot)

Accuracy

Image Classification on mnist

Percentage error

Image Classification on n-MNIST

Accuracy

Image Classification on split CIFAR-100

Average AccuracyPercentage Average accuracy - 5 tasks

Image Classification on CUB-200-2011

Accuracy

Image Classification on AWA - 0-Shot

Accuracy

Image Classification on ArtDL

Average PrecisionF1

Image Classification on Birdsnap

Accuracy

Image Classification on Book Cover Dataset

Top 1 Accuracy

Image Classification on BoxCars116K

Accuracy

Image Classification on CIFAR-10 (with noisy labels)

Accuracy (under 20% Sym. label noise)Accuracy (under 50% Sym. label noise)Accuracy (under 80% Sym. label noise)Accuracy (under 90% Sym. label noise)Accuracy (under 95% Sym. label noise)

Image Classification on CIFAR-10 Image Classification

Params

Image Classification on CIFAR-FS - 1-Shot Learning

Accuracy

Image Classification on CUB-200 - 0-Shot Learning

Accuracy

Image Classification on Caltech-101, 202 Labels

Accuracy

Image Classification on Caltech-256, 1024 Labels

Accuracy

Image Classification on CarFlag-1532

Accuracy

Image Classification on CarFlag-563

Accuracy

Image Classification on CompCars

Accuracy

Image Classification on Fewshot-CIFAR100 - 1-Shot Learning

Accuracy

Image Classification on Fewshot-CIFAR100 - 5-Shot Learning

Accuracy

Image Classification on Human Righst Archive (HRA)

coverage

Image Classification on Id Pattern Dataset

Percentage correct

Image Classification on ImageNet (finetuned)

Top 1 AccuracyNumber of Params

Image Classification on ImageNet - 0-Shot

Accuracy

Image Classification on ImageNet - 0.2% labeled data

ImageNet Top-1 Accuracy

Image Classification on ImageNet-64

Top 1 Error

Image Classification on ImageNet-9

Top 1 Accuracy

Image Classification on ImageNet-P

Top 5 Accuracy

Image Classification on Malaria Dataset

Acc. (test)PARAMS

Image Classification on SARS-COV-2

1:1 Accuracy

Image Classification on SUN - 0-Shot

Accuracy

Image Classification on SUT

Accuracy

Image Classification on Salinas Scene

Overall Accuracy

Image Classification on cifar10, 10 labels

% Test Accuracy