paper-with-me

Image Classification 벤치마크

Image Classification on Tiny-ImageNet

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Top 1 Accuracy

44.9 50.59 56.28 61.98 67.67 2020-09 2026-11 PreActResNet18 — 63.48 (2020-09-15) UPANets — 67.67 (2021-03-15) DLME (ResNet-18, linear) — 44.9 (2022-07-07) PreActResNet18 — 63.48 (2020-09-15) UPANets — 67.67 (2021-03-15)
RankModel Top 1 AccuracyTop-1 Accuracy PaperCodeYear
1 UPANets 67.67– UPANets: Learning from the Universal Pixel Attention Networks hanktseng131415go/UPANets 2021
2 PreActResNet18 63.48– Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup snu-mllab/PuzzleMix 2020
3 DLME (ResNet-18, linear) 44.9– DLME: Deep Local-flatness Manifold Embedding Westlake-AI/openmixup · zangzelin/code_ECCV2022_DLME 2022
4 MMA-CCT-7/3x2 –64.41 Multi-manifold Attention for Vision Transformers 2022
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