paper-with-me

Image Classification 벤치마크

Image Classification on Tiny ImageNet Classification

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Validation Acc

49.56 60.42 71.27 82.12 92.98 2019-04 2026-09 DenseNet + Residual Networks — 60.0 (2019-04-23) EfficientNet-B1+DCL — 84.39 (2019-12-17) PreActResNet-18-3 — 70.24 (2021-03-10) UPANets — 67.67 (2021-03-15) ResNeXt-50 (AutoMix) — 70.72 (2021-03-24) ResNet18 (AutoMix) — 67.33 (2021-03-24) DeiT-B/16 (PUGD) — 91.02 (2021-10-01) ViT-B/16 (PUGD) — 90.74 (2021-10-01) ResNeXt-50 (SAMix) — 72.18 (2021-11-30) ResNet18 (SAMix) — 68.89 (2021-11-30) Context-Aware Pipeline — 73.6 (2021-12-30) Convolutional Nystromformer for Vision (CNV) — 49.56 (2022-01-25) Swin-L — 91.35 (2022-05-21) WaveMixLite-144/7 — 77.47 (2022-05-28) DeiT-B/16-D + OCD(5) — 92.0 (2022-10-02) DeiT-B/16-D + OCD — 90.8 (2022-10-02) WaveMixLite-160/13 — 54.76 (2022-10-13) SwinV2-B + GradMatch — 91.9 (2023-03-03) Astroformer — 92.98 (2023-04-03) MANO-tiny — 87.52 (2025-07-03) DenseNet + Residual Networks — 60.0 (2019-04-23) EfficientNet-B1+DCL — 84.39 (2019-12-17) DeiT-B/16 (PUGD) — 91.02 (2021-10-01) Swin-L — 91.35 (2022-05-21) DeiT-B/16-D + OCD(5) — 92.0 (2022-10-02) Astroformer — 92.98 (2023-04-03)
RankModel Validation Acc Extra Training Data PaperCodeYear
1 Astroformer 92.98 Astroformer: More Data Might not be all you need for Classification Rishit-dagli/Astroformer 2023
2 DeiT-B/16-D + OCD(5) 92.0% OCD: Learning to Overfit with Conditional Diffusion Models shaharlutatipersonal/ocd 2022
3 SwinV2-B + GradMatch 91.90 Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective transmuteai/data-efficient-transformers 2023
4 Swin-L 91.35% ✓ Vision Transformers in 2022: An Update on Tiny ImageNet ehuynh1106/TinyImageNet-Transformers 2022
5 DeiT-B/16 (PUGD) 91.02% ✓ Perturbated Gradients Updating within Unit Space for Deep Learning hanktseng131415go/pugd 2021
6 DeiT-B/16-D + OCD 90.8% OCD: Learning to Overfit with Conditional Diffusion Models shaharlutatipersonal/ocd 2022
7 ViT-B/16 (PUGD) 90.74% ✓ Perturbated Gradients Updating within Unit Space for Deep Learning hanktseng131415go/pugd 2021
8 MANO-tiny 87.52 ✓ Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics AlexColagrande/MANO 2025
9 EfficientNet-B1+DCL 84.39% ✓ Direction Concentration Learning: Enhancing Congruency in Machine Learning luoyan407/congruency 2019
10 WaveMixLite-144/7 77.47% WaveMix: A Resource-efficient Neural Network for Image Analysis pranavphoenix/WaveMix 2022
11 Context-Aware Pipeline 73.6% Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud dixiyao/Context-Aware-Compilation-of-DNN-Training-Pipelines-across-Edge-and-Cloud 2021
12 ResNeXt-50 (SAMix+DM) 72.39
13 ResNeXt-50 (SAMix) 72.18% Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Westlake-AI/openmixup 2021
14 ResNeXt-50 (AutoMix+DM) 71.56
15 ResNeXt-50 (AutoMix) 70.72% AutoMix: Unveiling the Power of Mixup for Stronger Classifiers Westlake-AI/openmixup · zeyuanyin/tiny-imagenet · Westlake-AI/AutoMix 2021
16 PreActResNet-18-3 70.24% MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks alexrame/mixmo-pytorch 2021
17 ResNet18 (SAMix) 68.89% Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup Westlake-AI/openmixup 2021
18 ResNeXt-50 (PuzzleMix+DM) 68.04
19 UPANets 67.67 UPANets: Learning from the Universal Pixel Attention Networks hanktseng131415go/UPANets 2021
20 ResNet18 (AutoMix) 67.33% AutoMix: Unveiling the Power of Mixup for Stronger Classifiers Westlake-AI/openmixup · zeyuanyin/tiny-imagenet · Westlake-AI/AutoMix 2021
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