Image Classification on ANIMAL-10N (test)
89.38AccuracyProposed Method
Evaluation Results
| Method | Links | |
|---|---|---|
| Proposed MethodModel Variant=Modified Model, Test-Time Augmentation=true2022.10 | 89.38 | |
| Jigsaw-ViTBackbone=DeiT-Small/16, Number of Parameters=22M, FLOPs=4.6G2022.07 | 89 | |
| MixFixBackbone=PreResNet-18, Zero-shot=false2024.08 | 88.85 | |
| Ours2024.08 | 88.85 | |
| S3Backbone=VGG-19bn, Number of Parameters=143.7M, FLOPs=19.7G2022.07 | 88.5 | |
| Robust LR2021.12 | 88.5 | |
| SSR+2021.11 | 88.5 | |
| SSR+Backbone=PreResNet-18, Zero-shot=false2024.08 | 88.5 | |
| SSR+2024.08 | 88.5 | |
| Proposed MethodModel Variant=Modified Model, Test-Time Augmentation=false2022.10 | 88.48 | |
| GAMRBackbone=VGG-19N2026.05 | 88.1 | |
| DeiT-Small/16Backbone=DeiT-Small/16, Number of Parameters=22M, FLOPs=4.6G2022.07 | 87.2 | |
| LongReMixBackbone=VGG-19N2026.05 | 87.2 | |
| DICSBackbone=VGG-19N2026.05 | 87.1 | |
| Proposed MethodModel Variant=Normal Model, Test-Time Augmentation=true2022.10 | 86.98 | |
| CTRRBackbone=ResNet-18, Pre-training=Random initialization2022.03 | 86.71 | |
| PSSCLBackbone=VGG-19N2026.05 | 86.2 | |
| Proposed MethodModel Variant=Normal Model, Test-Time Augmentation=false2022.10 | 85.84 | |
| VRI (+)Backbone=VGG19, Metadata availability=None, Adaptive sample strategy=true2026.03 | 85.8 | |
| BRBackbone=VGG-19N2026.05 | 85.8 | |
| Co-teachingBackbone=ResNet-18, Pre-training=Random initialization2022.03 | 85.73 | |
| OT-FilterBackbone=VGG-19N2026.05 | 85.5 | |
| CMW-Net-SL2022.02 | 84.7 | |
| CMW-Net-SL2022.02 | 84.7 | |
| InstanceGMBackbone=VGG [52]2022.09 | 84.6 | |
| InstanceGM2024.08 | 84.6 | |
| Chen et al (2022)Backbone=VGG19, Metadata availability=None2026.03 | 84.5 | |
| DivideMixBackbone=VGG-19N2026.05 | 84.5 | |
| GCEBackbone=ResNet-18, Pre-training=Random initialization2022.03 | 84.42 | |
| HRP (Ours)Backbone=VGG-19N2026.05 | 84.3 | |
| APLBackbone=ResNet-18, Pre-training=Random initialization2022.03 | 84.25 | |
| Englesson (2021)Backbone=VGG19, Metadata availability=None2026.03 | 84.2 | |
| Nested + Co-teaching2021.04 | 84.1 | |
| Nested-CE2022.09 | 84.1 | |
| NCT2022.10 | 84.1 | |
| NCTBackbone=VGG-19bn, Number of Parameters=143.7M, FLOPs=19.7G2022.07 | 84.1 | |
| NCT2021.12 | 84.1 | |
| NCT2021.11 | 84.1 | |
| NCT2024.08 | 84.1 | |
| Chen et al (2021)Backbone=VGG19, Metadata availability=None2026.03 | 84.1 | |
| Co-teaching+NestedBackbone=VGG-19N2026.05 | 84.1 | |
| SLBackbone=ResNet-18, Pre-training=Random initialization2022.03 | 83.92 | |
| ForwardBackbone=ResNet-18, Pre-training=Random initialization2022.03 | 83.67 | |
| PLCbackbone=VGG-19 with batch normalization, optimizer=SGD, epochs=1002021.03 | 83.4 | |
| PLC2021.04 | 83.4 | |
| PLC2022.09 | 83.4 | |
| PLC2022.10 | 83.4 | |
| PLCBackbone=VGG-19bn, Number of Parameters=143.7M, FLOPs=19.7G2022.07 | 83.4 | |
| PLC2021.12 | 83.4 | |
| PLC2022.02 | 83.4 | |
| PLC2022.02 | 83.4 | |
| PLC2021.11 | 83.4 | |
| PLC2024.08 | 83.4 | |
| Zhang et al (2021b)Backbone=VGG19, Metadata availability=None2026.03 | 83.4 | |
| PLCBackbone=VGG-19N2026.05 | 83.4 | |
| CEBackbone=ResNet-18, Pre-training=Random initialization2022.03 | 83.18 | |
| SLNBackbone=ResNet-18, Pre-training=Random initialization2022.03 | 83.17 | |
| MixUpBackbone=VGG-19N2026.05 | 82.7 | |
| DALBackbone=ResNet-182026.05 | 82.7 | |
| SELFIEbackbone=VGG-19 with batch normalization, optimizer=SGD, epochs=1002021.03 | 81.8 | |
| SELFIE2021.04 | 81.8 | |
| SELFIE2022.09 | 81.8 | |
| SELFIE2022.10 | 81.8 | |
| SELFIEBackbone=VGG-19bn, Number of Parameters=143.7M, FLOPs=19.7G2022.07 | 81.8 | |
| SELFIE2021.12 | 81.8 | |
| SELFIE2022.02 | 81.8 | |
| SELFIE2022.02 | 81.8 | |
| SELFIE2021.11 | 81.8 | |
| SELFIE2024.08 | 81.8 | |
| Song et al (2019)Backbone=VGG19, Metadata availability=None2026.03 | 81.8 | |
| SELFIEBackbone=VGG-19N2026.05 | 81.8 | |
| DivideMixBackbone=VGG-19N2026.05 | 81.5 | |
| GCEBackbone=VGG-19N2026.05 | 81.5 | |
| VRI (-)Backbone=VGG19, Metadata availability=None, Adaptive sample strategy=false2026.03 | 81.4 | |
| RGC2026.05 | 81.4 | |
| L2BBackbone=VGG-19N2026.05 | 81.4 | |
| Dropout2021.04 | 81.3 | |
| Nested2021.04 | 81.3 | |
| Nested-Dropout2022.09 | 81.3 | |
| CE+Dropout2022.09 | 81.3 | |
| DropoutBackbone=VGG-19bn, Number of Parameters=143.7M, FLOPs=19.7G2022.07 | 81.3 | |
| CMW-Net2022.02 | 80.9 | |
| CMW-Net2022.02 | 80.9 | |
| MW-Net2022.02 | 80.7 | |
| MW-Net2022.02 | 80.7 | |
| ActiveBias2022.02 | 80.5 | |
| ActiveBias2022.02 | 80.5 | |
| Co-teaching2022.02 | 80.2 | |
| Co-teaching2022.02 | 80.2 | |
| HamBRBackbone=VGG-19N2026.05 | 79.7 | |
| Standardbackbone=VGG-19 with batch normalization, optimizer=SGD, epochs=1002021.03 | 79.4 | |
| CE2021.04 | 79.4 | |
| CE2022.09 | 79.4 | |
| Cross Entropy2022.10 | 79.4 | |
| CEBackbone=VGG-19bn, Number of Parameters=143.7M, FLOPs=19.7G2022.07 | 79.4 | |
| ERM2022.02 | 79.4 | |
| ERM2022.02 | 79.4 | |
| Cross-Entropy2021.11 | 79.4 | |
| CE2024.08 | 79.4 | |
| BaselineBackbone=VGG19, Metadata availability=None2026.03 | 79.4 |