Image Classification on COCO-MLT

Metric: Average mAP (higher is better)

LeaderboardDataset

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#	Model↕	Average mAP▼	Extra Data	Paper	Date↕	Code
1	LMPT(ViT-B/16)	66.19	Yes	LMPT: Prompt Tuning with Class-Specific Embeddin...	2023-05-08	Code
2	CLIP(ViT-B/16)	60.17	Yes	Learning Transferable Visual Models From Natural...	2021-02-26	Code
3	LMPT(ResNet-50)	58.97	Yes	LMPT: Prompt Tuning with Class-Specific Embeddin...	2023-05-08	Code
4	LTML(ResNet-50)	56.9	No	-	-	-
5	CLIP(ResNet-50)	56.19	Yes	Learning Transferable Visual Models From Natural...	2021-02-26	Code
6	PG Loss(ResNet-50)	54.43	No	-	-	-
7	DB Focal(ResNet-50)	53.55	No	Distribution-Balanced Loss for Multi-Label Class...	2020-07-19	Code
8	Focal Loss(ResNet-50)	49.46	No	Focal Loss for Dense Object Detection	2017-08-07	Code
9	CB Loss(ResNet-50)	49.06	No	Class-Balanced Loss Based on Effective Number of...	2019-01-16	Code
10	RS(ResNet-50)	46.97	No	Relay Backpropagation for Effective Learning of ...	2015-12-18	Code
11	OLTR(ResNet-50)	45.83	No	Large-Scale Long-Tailed Recognition in an Open W...	2019-04-10	Code
12	ML-GCN(ResNet-50)	44.24	No	Multi-Label Image Recognition with Graph Convolu...	2019-04-07	Code
13	LDAM(ResNet-50)	40.53	No	Learning Imbalanced Datasets with Label-Distribu...	2019-06-18	Code

#1LMPT(ViT-B/16)SOTA
66.19
Average mAP· Extra Data· 2023-05-08
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition Code
#2CLIP(ViT-B/16)SOTA
60.17
Average mAP· Extra Data· 2021-02-26
Learning Transferable Visual Models From Natural Language Supervision Code
#3LMPT(ResNet-50)
58.97
Average mAP· Extra Data· 2023-05-08
LMPT: Prompt Tuning with Class-Specific Embedding Loss for Long-tailed Multi-Label Visual Recognition Code
#4LTML(ResNet-50)
56.9
Average mAP
No paper
#5CLIP(ResNet-50)
56.19
Average mAP· Extra Data· 2021-02-26
Learning Transferable Visual Models From Natural Language Supervision Code
#6PG Loss(ResNet-50)
54.43
Average mAP
No paper
#7DB Focal(ResNet-50)SOTA
53.55
Average mAP· 2020-07-19
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Code
#8Focal Loss(ResNet-50)SOTA
49.46
Average mAP· 2017-08-07
Focal Loss for Dense Object Detection Code
#9CB Loss(ResNet-50)
49.06
Average mAP· 2019-01-16
Class-Balanced Loss Based on Effective Number of Samples Code
#10RS(ResNet-50)SOTA
46.97
Average mAP· 2015-12-18
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks Code
#11OLTR(ResNet-50)
45.83
Average mAP· 2019-04-10
Large-Scale Long-Tailed Recognition in an Open World Code
#12ML-GCN(ResNet-50)
44.24
Average mAP· 2019-04-07
Multi-Label Image Recognition with Graph Convolutional Networks Code
#13LDAM(ResNet-50)
40.53
Average mAP· 2019-06-18
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Code