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Model soups (BASIC-L)
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Model soups: averaging weights of multiple fine-t…
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77.18
|
2022-03-10
|
|
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Model soups (ViT-G/14)
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Model soups: averaging weights of multiple fine-t…
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74.24
|
2022-03-10
|
|
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CAR-FT (CLIP, ViT-L/14@336px)
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Context-Aware Robust Fine-Tuning
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65.50
|
2022-11-29
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|
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ConvNeXt-XL (Im21k, 384)
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A ConvNet for the 2020s
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55.00
|
2022-01-10
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|
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CAFormer-B36 (IN21K, 384)
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MetaFormer Baselines for Vision
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54.50
|
2022-10-24
|
|
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LLE (ViT-H/14, MAE, Edge Aug)
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A Whac-A-Mole Dilemma: Shortcuts Come in Multiple…
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53.39
|
2022-12-09
|
|
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ConvFormer-B36 (IN21K, 384)
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MetaFormer Baselines for Vision
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52.90
|
2022-10-24
|
|
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CAFormer-B36 (IN21K)
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MetaFormer Baselines for Vision
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52.80
|
2022-10-24
|
|
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ConvFormer-B36 (IN21K)
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MetaFormer Baselines for Vision
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52.70
|
2022-10-24
|
|
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MAE (ViT-H, 448)
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Masked Autoencoders Are Scalable Vision Learners
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50.90
|
2021-11-11
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|
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MAE+DAT (ViT-H)
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Enhance the Visual Representation via Discrete Ad…
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50.03
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2022-09-16
|
|
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GPaCo (ViT-L)
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Generalized Parametric Contrastive Learning
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48.30
|
2022-09-26
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|
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Discrete Adversarial Distillation (ViT-B, 224)
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Distilling Out-of-Distribution Robustness from Vi…
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46.10
|
2023-11-02
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|
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Pyramid Adversarial Training Improves ViT (Im21k)
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Pyramid Adversarial Training Improves ViT Perform…
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46.03
|
2021-11-30
|
|
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SEER (RegNet10B)
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Vision Models Are More Robust And Fair When Pretr…
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45.60
|
2022-02-16
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|
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DrViT
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Discrete Representations Strengthen Vision Transf…
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44.72
|
2021-11-20
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|
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CAFormer-B36
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MetaFormer Baselines for Vision
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42.50
|
2022-10-24
|
|
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Pyramid Adversarial Training Improves ViT
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Pyramid Adversarial Training Improves ViT Perform…
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41.04
|
2021-11-30
|
|
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ConvFormer-B36
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MetaFormer Baselines for Vision
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39.50
|
2022-10-24
|
|
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Sequencer2D-L
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Sequencer: Deep LSTM for Image Classification
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35.80
|
2022-05-04
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