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SotA/Computer Vision/Few-Shot Image Classification

Few-Shot Image Classification

120 benchmarks353 papers

Few-Shot Image Classification is a computer vision task that involves training machine learning models to classify images into predefined categories using only a few labeled examples of each category (typically < 6 examples). The goal is to enable models to recognize and classify new images with minimal supervision and limited data, without having to train on large datasets. (typically < 6 examples)

<span style="color:grey; opacity: 0.6">( Image credit: Learning Embedding Adaptation for Few-Shot Learning )</span>

Benchmarks

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

Accuracy

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

Accuracy

Few-Shot Image Classification on ImageNet-LT

Top-1 Accuracy

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

Error Rate

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

Accuracy

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

Accuracy

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

Error Rate

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

Accuracy

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

Accuracy

Few-Shot Image Classification on CUB 200 5-way 1-shot

Accuracy

Few-Shot Image Classification on CUB 200 5-way 5-shot

Accuracy

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

Error Rate

Few-Shot Image Classification on Places-LT

Top-1 AccuracyTop 1 Accuracy

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

Error Rate

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

Error Rate

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

Accuracy

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

Accuracy

Few-Shot Image Classification on Meta-Dataset

Accuracy

Few-Shot Image Classification on MIMIC-CXR-LT

Balanced Accuracy

Few-Shot Image Classification on NIH-CXR-LT

Balanced Accuracy

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

Accuracy

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

Accuracy

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

Accuracy

Few-Shot Image Classification on COCO-MLT

Average mAP

Few-Shot Image Classification on Meta-Dataset Rank

Mean Rank

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

Accuracy

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

Accuracy

Few-Shot Image Classification on VOC-MLT

Average mAP

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

1:1 Accuracy

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

1:1 Accuracy

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

Accuracy

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

Accuracy

Few-Shot Image Classification on Bongard-HOI

Avg. Accuracy

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

1:1 Accuracy

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

1:1 Accuracy

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

Error Rate

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

1:1 Accuracy

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

1:1 Accuracy

Few-Shot Image Classification on ImageNet - 1-shot

Top 1 Accuracy

Few-Shot Image Classification on ImageNet - 5-shot

Top 1 Accuracy

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

Top-5 Accuracy (%)

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

Top-5 Accuracy (%)

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

Accuracy

Few-Shot Image Classification on ImageNet - 10-shot

Top 1 Accuracy

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

Top-5 Accuracy (%)

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

Accuracy

Few-Shot Image Classification on ImageNet-GLT

Accuracy

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

Accuracy

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

Accuracy

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

Accuracy

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

Accuracy

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

Accuracy

Few-Shot Image Classification on AWA-LT

Per-Class AccuracyLong-Tailed Accuracy

Few-Shot Image Classification on CUB-LT

Per-Class AccuracyLong-Tailed Accuracy

Few-Shot Image Classification on ImageNet-LT-d

Per-Class Accuracy

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

Accuracy

Few-Shot Image Classification on SUN-LT

Per-Class AccuracyLong-Tailed Accuracy

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

Accuracy

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

Accuracy

Few-Shot Image Classification on EGTEA

Average PrecisionAverage Recall

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

Top-5 Accuracy (%)

Few-Shot Image Classification on ORBIT Clutter Video Evaluation

Frame accuracy

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

Accuracy

Few-Shot Image Classification on iNaturalist 2018

Top-1 Accuracy

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

Error Rate

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

Error Rate

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

Accuracy

Few-Shot Image Classification on ImageNet (1-shot)

Top-5 Accuracy

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

Top-5 Accuracy (%)

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

Top-5 Accuracy (%)

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

Top-5 Accuracy (%)

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

Top-5 Accuracy (%)

Few-Shot Image Classification on Mini-ImageNet - 1-Shot Learning

Accuracy

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

Accuracy

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

Accuracy

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

Accuracy

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

Accuracy

Few-Shot Image Classification on ORBIT Clean Video Evaluation

Frame accuracy

Few-Shot Image Classification on AWA1 - 0-Shot

Accuracy

Few-Shot Image Classification on AWA2 - 0-Shot

Accuracy

Few-Shot Image Classification on CIFAR-FS - 5-Shot Learning

Accuracy

Few-Shot Image Classification on CUB 200 5-way

Accuracy

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

AP50Top-1 Accuracy

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

Accuracy

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

Accuracy

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

Accuracy

Few-Shot Image Classification on Caltech101

Harmonic mean

Few-Shot Image Classification on CelebA-5

Error Rate

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

Accuracy

Few-Shot Image Classification on Flowers-102 - 0-Shot

AP50Accuracy

Few-Shot Image Classification on Lot-insts

Macro-F1

Few-Shot Image Classification on OMNIGLOT - 1-Shot, 1000 way

Accuracy

Few-Shot Image Classification on OMNIGLOT - 1-Shot, 423 way

Accuracy

Few-Shot Image Classification on OMNIGLOT - 5-Shot, 1000 way

Accuracy

Few-Shot Image Classification on OMNIGLOT - 5-Shot, 423 way

Accuracy

Few-Shot Image Classification on Oxford 102 Flower

ACCURACY

Few-Shot Image Classification on UT Zappos50K

Top 1 Accuracy

Few-Shot Image Classification on aPY - 0-Shot

Accuracy

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

Accuracy

Few-Shot Image Classification on iNaturalist 2018 - 1-shot

Top 1 Accuracy

Few-Shot Image Classification on iNaturalist 2018 - 10-shot

Top 1 Accuracy

Few-Shot Image Classification on iNaturalist 2018 - 5-shot

Top 1 Accuracy

Few-Shot Image Classification on mini-ImageNet - 100-Way

Accuracy

Few-Shot Image Classification on mini-ImageNet-LT

Error Rate

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

Accuracy

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

Accuracy

Few-Shot Image Classification on AWA - 0-Shot

Accuracy

Few-Shot Image Classification on CIFAR-FS - 1-Shot Learning

Accuracy

Few-Shot Image Classification on CUB-200 - 0-Shot Learning

Accuracy

Few-Shot Image Classification on Fewshot-CIFAR100 - 1-Shot Learning

Accuracy

Few-Shot Image Classification on Fewshot-CIFAR100 - 5-Shot Learning

Accuracy

Few-Shot Image Classification on ImageNet - 0-Shot

Accuracy

Few-Shot Image Classification on SUN - 0-Shot

Accuracy