Multi-label Image Classification on Pascal VOC 2007
96mAPMSRN
Evaluation Results
| Method | Links | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MSRNPre-training=true2021.06 | 96 | 100 | 98.9 | 98.7 | 99.1 | 86.6 | 97.9 | 98.5 | 98.9 | 86 | 98.7 | 89.1 | 99 | 99.1 | 97.3 | 99.2 | 90.2 | 99.2 | 89.7 | 99.8 | 95.3 | |
| SSFRL(pre)Pre-training=true, Input image size=576x5762021.06 | 95 | 99.5 | 98.4 | 98 | 97.6 | 85.7 | 96.2 | 98.2 | 98.8 | 82 | 98.1 | 89.7 | 98.8 | 98.7 | 97 | 99 | 86.9 | 98.1 | 85.8 | 99 | 93.7 | |
| Multi-label E2EModel=ViT-large2026.03 | 95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MSRN2021.06 | 94.9 | 99.7 | 98.8 | 98.9 | 99.1 | 81.6 | 95.5 | 98 | 98.2 | 84.4 | 96.6 | 87.5 | 98.6 | 98.6 | 97.2 | 99.1 | 87 | 97.6 | 86.5 | 99.4 | 94.4 | |
| Multi-label E2EModel=ViT-base2026.03 | 94.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| +Multi-label FTModel=ViT-large2026.03 | 94.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| F-GCN2021.06 | 94.1 | 99.5 | 98.5 | 98.7 | 98.2 | 80.9 | 94.8 | 97.3 | 98.3 | 82.5 | 95.7 | 86.6 | 98.2 | 98.4 | 96.7 | 99 | 84.8 | 96.7 | 84.4 | 99 | 93.7 | |
| ML-GCN2021.06 | 94 | 99.5 | 98.5 | 98.6 | 98.1 | 80.8 | 94.6 | 97.2 | 98.2 | 82.3 | 95.7 | 86.4 | 98.2 | 98.4 | 96.7 | 99 | 84.7 | 96.7 | 84.3 | 98.9 | 93.7 | |
| A-GCN2021.06 | 94 | 99.4 | 98.5 | 98.6 | 98 | 80.8 | 94.7 | 97.2 | 98.2 | 82.4 | 95.5 | 86.4 | 98.2 | 98.4 | 96.7 | 98.9 | 84.8 | 96.6 | 84.4 | 98.9 | 93.7 | |
| +Multi-label FTModel=ViT-base2026.03 | 93.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SSGRL2021.06 | 93.4 | 99.5 | 97.1 | 97.6 | 97.8 | 82.6 | 94.8 | 96.7 | 98.1 | 78 | 97 | 85.6 | 97.8 | 98.3 | 96.4 | 98.8 | 84.9 | 96.5 | 79.8 | 98.4 | 92.8 | |
| Single-label E2EModel=ViT-large2026.03 | 93.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TAI-DPTExtra Training Data=10% Data2023.12 | 93.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Multi-label E2EModel=ViT-small2026.03 | 93.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TagCLIPExtra Training Data=None2023.12 | 92.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Single-label E2EModel=ViT-base2026.03 | 92.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Multi-label E2EModel=ResNet-1012026.03 | 92.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AR2021.06 | 92 | 98.6 | 97.1 | 97.1 | 95.5 | 75.6 | 92.8 | 96.8 | 97.3 | 78.3 | 92.2 | 87.6 | 96.9 | 96.5 | 93.6 | 98.5 | 81.6 | 93.1 | 83.2 | 98.5 | 89.3 | |
| +Multi-label FTModel=ViT-small2026.03 | 91.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| +Multi-label FTModel=ResNet-1012026.03 | 91.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Single-label E2EModel=ViT-small2026.03 | 91 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Multi-label E2EModel=ResNet-502026.03 | 90.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| +Multi-label FTModel=ResNet-502026.03 | 90.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Single-label E2EModel=ResNet-1012026.03 | 90.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DualCoOpExtra Training Data=10% Data2023.12 | 90.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ResNet-101Backbone=ResNet-1012021.06 | 89.9 | 99.5 | 97.7 | 97.8 | 96.4 | 75.7 | 91.8 | 96.1 | 97.6 | 74.2 | 80.9 | 85 | 98.4 | 96.5 | 95.9 | 98.4 | 70.1 | 88.3 | 80.2 | 98.9 | 89.2 | |
| Single-label E2EModel=ResNet-502026.03 | 89.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TAI-DPTExtra Training Data=COCO captions2023.12 | 88.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DPTExtra Training Data=None, Softmax=true2023.12 | 86.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CLIPExtra Training Data=None, Softmax=true2023.12 | 85.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CLIPSurgeryExtra Training Data=None2023.12 | 85.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CNN-RNN2021.06 | 84 | 96.7 | 83.1 | 94.2 | 92.8 | 61.2 | 82.1 | 89.1 | 94.2 | 64.2 | 83.6 | 70 | 92.4 | 91.7 | 84.2 | 93.7 | 59.8 | 93.2 | 75.3 | 99.7 | 78.6 | |
| SARBExtra Training Data=10% Data2023.12 | 83.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DPTExtra Training Data=None, Softmax=false2023.12 | 83.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ReplaceMe (LS)Compres. ratio=13%, zero-shot=true2025.05 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CLIPExtra Training Data=None, Softmax=false2023.12 | 79.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CLIP-L/14Compres. ratio=0%, zero-shot=true2025.05 | 79 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UIDLCompres. ratio=13%, zero-shot=true2025.05 | 78.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ReplaceMe (LS)Compres. ratio=25%, zero-shot=true2025.05 | 68.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UIDLCompres. ratio=25%, zero-shot=true2025.05 | 59.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |