Image Classification on CUB-200-2011

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	PIM	92.8	Yes	A Novel Plug-in Module for Fine-Grained Visual C...	2022-02-08	Code
2	CAP	91.8	No	Context-aware Attentional Pooling (CAP) for Fine...	2021-01-17	Code
3	IELT	91.8	No	0/1 Deep Neural Networks via Block Coordinate De...	2022-06-19	-
4	SFETrans	91.8	No	-	-	-
5	TransFG	91.7	No	TransFG: A Transformer Architecture for Fine-gra...	2021-03-14	Code
6	SWAG (ViT H/14)	91.7	Yes	Revisiting Weakly Supervised Pre-Training of Vis...	2022-01-20	Code
7	ViT-NeT	91.7	No	-	-	Code
8	FFVT	91.6	No	Feature Fusion Vision Transformer for Fine-Grain...	2021-07-06	Code
9	DATL	91.2	Yes	Domain Adaptive Transfer Learning on Visual Atte...	2020-10-06	-
10	CAL	90.6	No	Counterfactual Attention Learning for Fine-Grain...	2021-08-19	Code
11	TBMSL-Net	89.6	No	Multi-branch and Multi-scale Attention Learning ...	2020-03-20	Code
12	FBSD	89.5	No	Feature Boosting, Suppression, and Diversificati...	2021-03-04	Code
13	WS-DAN	89.4	No	See Better Before Looking Closer: Weakly Supervi...	2019-01-26	Code
14	ELP	88.8	No	-	-	Code
15	MPN-COV	88.7	No	Towards Faster Training of Global Covariance Poo...	2017-12-04	Code
16	FixSENet-154	88.7	No	Fixing the train-test resolution discrepancy	2019-06-14	Code
17	ResNet-50	88.59	No	PCNN: Probable-Class Nearest-Neighbor Explanatio...	2023-08-25	Code
18	DenseNet161+MM+FRL	88.5	No	Learning Class Unique Features in Fine-Grained V...	2020-11-22	-
19	EnGraf-Net152 (G=4, H=1)	88.31	No	-	-	Code
20	LIO	88	No	Look-into-Object: Self-supervised Structure Mode...	2020-03-31	Code
21	TASN	87.9	No	Looking for the Devil in the Details: Learning T...	2019-03-14	Code
22	Nts-Net	87.5	No	-	-	Code
23	DFL-CNN	87.4	No	Learning a Discriminative Filter Bank within a C...	2016-11-29	Code
24	PC	86.9	No	Pairwise Confusion for Fine-Grained Visual Class...	2017-05-22	Code
25	MACNN	86.5	No	-	-	Code
26	Basel.+LSRO	84.4	No	Unlabeled Samples Generated by GAN Improve the P...	2017-01-26	Code
27	Sparse-CBM	80.02	No	Sparse Concept Bottleneck Models: Gumbel Tricks ...	2024-04-04	Code
28	BYOL+CVSA (ResNet-50)	77.1	No	Exploring Localization for Self-supervised Fine-...	2021-06-30	Code
29	Deformable Part Descriptors	50.98	No	-	-	-

#1PIMSOTA
92.8
Accuracy· Extra Data· 2022-02-08
A Novel Plug-in Module for Fine-Grained Visual Classification Code
#2CAPSOTA
91.8
Accuracy· 2021-01-17
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Code
#3IELT
91.8
Accuracy· 2022-06-19
0/1 Deep Neural Networks via Block Coordinate Descent
#4SFETrans
91.8
Accuracy
No paper
#5TransFG
91.7
Accuracy· 2021-03-14
TransFG: A Transformer Architecture for Fine-grained Recognition Code
#6SWAG (ViT H/14)
91.7
Accuracy· Extra Data· 2022-01-20
Revisiting Weakly Supervised Pre-Training of Visual Perception Models Code
#7ViT-NeT
91.7
Accuracy
No paperCode
#8FFVT
91.6
Accuracy· 2021-07-06
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization Code
#9DATLSOTA
91.2
Accuracy· Extra Data· 2020-10-06
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization
#10CAL
90.6
Accuracy· 2021-08-19
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification Code
#11TBMSL-NetSOTA
89.6
Accuracy· 2020-03-20
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization Code
#12FBSD
89.5
Accuracy· 2021-03-04
Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification Code
#13WS-DANSOTA
89.4
Accuracy· 2019-01-26
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification Code
#14ELP
88.8
Accuracy
No paperCode
#15MPN-COVSOTA
88.7
Accuracy· 2017-12-04
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization Code
#16FixSENet-154
88.7
Accuracy· 2019-06-14
Fixing the train-test resolution discrepancy Code
#17ResNet-50
88.59
Accuracy· 2023-08-25
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans Code
#18DenseNet161+MM+FRL
88.5
Accuracy· 2020-11-22
Learning Class Unique Features in Fine-Grained Visual Classification
#19EnGraf-Net152 (G=4, H=1)
88.31
Accuracy
No paperCode
#20LIO
88
Accuracy· 2020-03-31
Look-into-Object: Self-supervised Structure Modeling for Object Recognition Code
#21TASN
87.9
Accuracy· 2019-03-14
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition Code
#22Nts-Net
87.5
Accuracy
No paperCode
#23DFL-CNNSOTA
87.4
Accuracy· 2016-11-29
Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition Code
#24PC
86.9
Accuracy· 2017-05-22
Pairwise Confusion for Fine-Grained Visual Classification Code
#25MACNN
86.5
Accuracy
No paperCode
#26Basel.+LSRO
84.4
Accuracy· 2017-01-26
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro Code
#27Sparse-CBM
80.02
Accuracy· 2024-04-04
Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning Code
#28BYOL+CVSA (ResNet-50)
77.1
Accuracy· 2021-06-30
Exploring Localization for Self-supervised Fine-grained Contrastive Learning Code
#29Deformable Part Descriptors
50.98
Accuracy
No paper