Image Classification on mini WebVision 1.0

Metric: Top-1 Accuracy (higher is better)

LeaderboardDataset

Loading chart...

Results

Sort:

#	Model↕	Top-1 Accuracy▼	Extra Data	Paper	Date↕	Code
1	LRA-diffusion (CLIP ViT)	84.16	No	Label-Retrieval-Augmented Diffusion Models for L...	2023-05-31	Code
2	Robust LR	81.84	No	Two Wrongs Don't Make a Right: Combating Confirm...	2021-12-06	-
3	PGDF (Inception-ResNet-v2)	81.47	No	Sample Prior Guided Robust Model Learning to Sup...	2021-12-02	Code
4	SSR	80.92	No	SSR: An Efficient and Robust Framework for Learn...	2021-11-22	Code
5	BtR	80.88	No	Bootstrapping the Relationship Between Images an...	2022-10-17	Code
6	CoDiM-Sup (Inception-ResNet-v2)	80.88	No	CoDiM: Learning with Noisy Labels via Contrastiv...	2021-11-23	-
7	NCR+Mixup+DA (ResNet-50)	80.5	No	Learning with Neighbor Consistency for Noisy Lab...	2022-02-04	Code
8	CMW-Net-SL+C2D	80.44	No	CMW-Net: Learning a Class-Aware Sample Weighting...	2022-02-11	Code
9	Dynamic Loss (Inception-ResNet-v2)	80.12	No	Dynamic Loss For Robust Learning	2022-11-22	Code
10	CoDiM-Self (Inception-ResNet-v2)	80.12	No	CoDiM: Learning with Noisy Labels via Contrastiv...	2021-11-23	-
11	Sel-CL+ (ResNet-18)	79.96	No	Selective-Supervised Contrastive Learning with N...	2022-03-08	Code
12	PSSCL (130 epochs)	79.56	No	-	-	Code
13	FaMUS	79.4	No	Faster Meta Update Strategy for Noise-Robust Dee...	2021-04-30	Code
14	NCR+Mixup (ResNet-50)	79.4	No	Learning with Neighbor Consistency for Noisy Lab...	2022-02-04	Code
15	CC	79.36	No	Centrality and Consistency: Two-Stage Clean Samp...	2022-07-29	Code
16	GJS (ResNet-50)	79.28	No	Generalized Jensen-Shannon Divergence Loss for L...	2021-05-10	Code
17	NGC (Inception-ResNet-v2)	79.16	No	NGC: A Unified Framework for Learning with Open-...	2021-08-25	-
18	TCL	79.1	No	Twin Contrastive Learning with Noisy Labels	2023-03-13	Code
19	LongReMix (Inception-ResNet-v2)	78.92	No	LongReMix: Robust Learning with High Confidence ...	2021-03-06	Code
20	MOIT+ (ResNet-18)	78.76	No	Multi-Objective Interpolation Training for Robus...	2020-12-08	Code
21	PSSCL (120 epochs)	78.52	No	-	-	Code
22	CMW-Net-SL	78.08	No	CMW-Net: Learning a Class-Aware Sample Weighting...	2022-02-11	Code
23	ELR+ (Inception-ResNet-v2)	77.78	No	Early-Learning Regularization Prevents Memorizat...	2020-06-30	Code
24	ScanMix (Inception-ResNet-v2)	77.72	No	ScanMix: Learning from Severe Label Noise via Se...	2021-03-21	Code
25	ROLT+ (Inception-ResNet-v2)	77.64	No	Robust Long-Tailed Learning under Label Noise	2021-08-26	-
26	CNLCU-S + DivideMix (Inception-ResNet-v2)	77.53	No	Sample Selection with Uncertainty of Losses for ...	2021-06-01	-
27	HSA-NRL(Inception-ResNet-v2)	77.52	No	Hard Sample Aware Noise Robust Learning for Hist...	2021-12-05	Code
28	CAR	77.41	No	Confidence Adaptive Regularization for Deep Lear...	2021-08-18	-
29	DivideMix (Inception-ResNet-v2)	77.32	No	DivideMix: Learning with Noisy Labels as Semi-su...	2020-02-18	Code
30	NCR (ResNet-50)	77.1	No	Learning with Neighbor Consistency for Noisy Lab...	2022-02-04	Code
31	DivideMix (ResNet-18)	76.08	No	DivideMix: Learning with Noisy Labels as Semi-su...	2020-02-18	Code
32	MentorMix (Inception-ResNet-v2)	76	No	Beyond Synthetic Noise: Deep Learning on Control...	2019-11-21	Code
33	NCT (Inception-ResNet-v2)	75.16	No	Noisy Concurrent Training for Efficient Learning...	2020-09-17	Code
34	ODD (Inception-ResNet-v2)	74.6	No	Robust and On-the-fly Dataset Denoising for Imag...	2020-03-24	-
35	Crust (Inception-ResNet-v2)	72.4	No	Coresets for Robust Training of Neural Networks ...	2020-11-15	-
36	Iterative-CV (Inception-ResNet-v2)	65.2	No	Understanding and Utilizing Deep Neural Networks...	2019-05-13	Code
37	Co-teaching (Inception-ResNet-v2)	63.58	No	Co-teaching: Robust Training of Deep Neural Netw...	2018-04-18	Code
38	D2L (Inception-ResNet-v2)	62.68	No	Dimensionality-Driven Learning with Noisy Labels	2018-06-07	Code
39	F-Correction (Inception-ResNet-v2)	61.12	No	Making Deep Neural Networks Robust to Label Nois...	2016-09-13	Code

#1LRA-diffusion (CLIP ViT)SOTA
84.16
Top-1 Accuracy· 2023-05-31
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels Code
#2Robust LRSOTA
81.84
Top-1 Accuracy· 2021-12-06
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise
#3PGDF (Inception-ResNet-v2)SOTA
81.47
Top-1 Accuracy· 2021-12-02
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Code
#4SSRSOTA
80.92
Top-1 Accuracy· 2021-11-22
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Code
#5BtR
80.88
Top-1 Accuracy· 2022-10-17
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels Code
#6CoDiM-Sup (Inception-ResNet-v2)
80.88
Top-1 Accuracy· 2021-11-23
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
#7NCR+Mixup+DA (ResNet-50)
80.5
Top-1 Accuracy· 2022-02-04
Learning with Neighbor Consistency for Noisy Labels Code
#8CMW-Net-SL+C2D
80.44
Top-1 Accuracy· 2022-02-11
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Code
#9Dynamic Loss (Inception-ResNet-v2)
80.12
Top-1 Accuracy· 2022-11-22
Dynamic Loss For Robust Learning Code
#10CoDiM-Self (Inception-ResNet-v2)
80.12
Top-1 Accuracy· 2021-11-23
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
#11Sel-CL+ (ResNet-18)
79.96
Top-1 Accuracy· 2022-03-08
Selective-Supervised Contrastive Learning with Noisy Labels Code
#12PSSCL (130 epochs)
79.56
Top-1 Accuracy
No paperCode
#13FaMUSSOTA
79.4
Top-1 Accuracy· 2021-04-30
Faster Meta Update Strategy for Noise-Robust Deep Learning Code
#14NCR+Mixup (ResNet-50)
79.4
Top-1 Accuracy· 2022-02-04
Learning with Neighbor Consistency for Noisy Labels Code
#15CC
79.36
Top-1 Accuracy· 2022-07-29
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels Code
#16GJS (ResNet-50)
79.28
Top-1 Accuracy· 2021-05-10
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Code
#17NGC (Inception-ResNet-v2)
79.16
Top-1 Accuracy· 2021-08-25
NGC: A Unified Framework for Learning with Open-World Noisy Data
#18TCL
79.1
Top-1 Accuracy· 2023-03-13
Twin Contrastive Learning with Noisy Labels Code
#19LongReMix (Inception-ResNet-v2)SOTA
78.92
Top-1 Accuracy· 2021-03-06
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment Code
#20MOIT+ (ResNet-18)SOTA
78.76
Top-1 Accuracy· 2020-12-08
Multi-Objective Interpolation Training for Robustness to Label Noise Code
#21PSSCL (120 epochs)
78.52
Top-1 Accuracy
No paperCode
#22CMW-Net-SL
78.08
Top-1 Accuracy· 2022-02-11
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Code
#23ELR+ (Inception-ResNet-v2)SOTA
77.78
Top-1 Accuracy· 2020-06-30
Early-Learning Regularization Prevents Memorization of Noisy Labels Code
#24ScanMix (Inception-ResNet-v2)
77.72
Top-1 Accuracy· 2021-03-21
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning Code
#25ROLT+ (Inception-ResNet-v2)
77.64
Top-1 Accuracy· 2021-08-26
Robust Long-Tailed Learning under Label Noise
#26CNLCU-S + DivideMix (Inception-ResNet-v2)
77.53
Top-1 Accuracy· 2021-06-01
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
#27HSA-NRL(Inception-ResNet-v2)
77.52
Top-1 Accuracy· 2021-12-05
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification Code
#28CAR
77.41
Top-1 Accuracy· 2021-08-18
Confidence Adaptive Regularization for Deep Learning with Noisy Labels
#29DivideMix (Inception-ResNet-v2)SOTA
77.32
Top-1 Accuracy· 2020-02-18
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Code
#30NCR (ResNet-50)
77.1
Top-1 Accuracy· 2022-02-04
Learning with Neighbor Consistency for Noisy Labels Code
#31DivideMix (ResNet-18)
76.08
Top-1 Accuracy· 2020-02-18
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Code
#32MentorMix (Inception-ResNet-v2)SOTA
76
Top-1 Accuracy· 2019-11-21
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels Code
#33NCT (Inception-ResNet-v2)
75.16
Top-1 Accuracy· 2020-09-17
Noisy Concurrent Training for Efficient Learning under Label Noise Code
#34ODD (Inception-ResNet-v2)
74.6
Top-1 Accuracy· 2020-03-24
Robust and On-the-fly Dataset Denoising for Image Classification
#35Crust (Inception-ResNet-v2)
72.4
Top-1 Accuracy· 2020-11-15
Coresets for Robust Training of Neural Networks against Noisy Labels
#36Iterative-CV (Inception-ResNet-v2)SOTA
65.2
Top-1 Accuracy· 2019-05-13
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels Code
#37Co-teaching (Inception-ResNet-v2)SOTA
63.58
Top-1 Accuracy· 2018-04-18
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Code
#38D2L (Inception-ResNet-v2)
62.68
Top-1 Accuracy· 2018-06-07
Dimensionality-Driven Learning with Noisy Labels Code
#39F-Correction (Inception-ResNet-v2)SOTA
61.12
Top-1 Accuracy· 2016-09-13
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Code