Multi-Label Classification on MS-COCO (test)
93.54mAPADDS
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| ADDSBackbone=ViT-L-336, Input Resolution=1344x13442022.08 | 93.54 | — | — | — | — | — | — | — | |
| ADDSBackbone=ViT-L-336, Input Resolution=640x6402022.08 | 93.41 | — | — | — | — | — | — | — | |
| ADDSBackbone=ViT-L-336, Input Resolution=336x3362022.08 | 91.76 | — | — | — | — | — | — | — | |
| ML-DecoderBackbone=TResNet-XL, Input Resolution=640x6402022.08 | 91.4 | — | — | — | — | — | — | — | |
| ML-DecoderBackbone=ViT-L-336 (f), Input Resolution=336x3362022.08 | 90.6 | — | — | — | — | — | — | — | |
| ML-DecoderBackbone=TResNet-L, Input Resolution=448x4482022.08 | 90.1 | — | — | — | — | — | — | — | |
| ADDSBackbone=ViT-L, Input Resolution=224x2242022.08 | 89.82 | — | — | — | — | — | — | — | |
| Q2LBackbone=TResNet-L, Input Resolution=448x4482022.08 | 89.2 | — | — | — | — | — | — | — | |
| ML-DecoderBackbone=ViT-L-336 (uf), Input Resolution=336x3362022.08 | 88.5 | — | — | — | — | — | — | — | |
| ASLBackbone=TResNet-L, Input Resolution=448x4482022.08 | 88.4 | — | — | — | — | — | — | — | |
| ML-DecoderBackbone=TResNet-M, Input Resolution=224x2242022.08 | 84.2 | — | — | — | — | — | — | — | |
| SSGRLBackbone=ResNet101, Input Resolution=576x5762022.08 | 83.8 | — | — | — | — | — | — | — | |
| MS-CMABackbone=ResNet101, Input Resolution=448x4482022.08 | 83.8 | — | — | — | — | — | — | — | |
| MCARBackbone=ResNet101, Pooling method=GMP2020.11 | 83.8 | — | — | — | — | — | — | — | |
| KSSNETBackbone=ResNet101, Input Resolution=448x4482022.08 | 83.7 | — | — | — | — | — | — | — | |
| ML-GCNBackbone=ResNet101, Input Resolution=448x4482022.08 | 83 | — | — | — | — | — | — | — | |
| MCARBackbone=ResNet50, Pooling method=GMP2020.11 | 82.1 | — | — | — | — | — | — | — | |
| OursBackbone=ResNet101, Pooling method=GMP, Note=Self-distillation, Teacher=ResNet101 (GMP)2020.11 | 81.24 | — | — | — | — | — | — | — | |
| BaselineBackbone=ResNet101, Pooling method=GMP2020.11 | 79.57 | — | — | — | — | — | — | — | |
| OursBackbone=ResNet50, Pooling method=GMP, Teacher=ResNet101 (GMP)2020.11 | 79.55 | — | — | — | — | — | — | — | |
| BaselineBackbone=ResNet50, Pooling method=GMP2020.11 | 77.2 | — | — | — | — | — | — | — | |
| OursBackbone=MobileNetV2, Pooling method=GMP, Teacher=ResNet101 (GMP)2020.11 | 76.03 | — | — | — | — | — | — | — | |
| MCARBackbone=MobileNetV2, Pooling method=GMP2020.11 | 75 | — | — | — | — | — | — | — | |
| BaselineBackbone=MobileNetV2, Pooling method=GMP2020.11 | 73.9 | — | — | — | — | — | — | — | |
| BIASurrogate Model=VGG192022.09 | — | 2.47 | 4.01 | 30.76 | 37.34 | 26.4 | 27.95 | 21.48 | |
| BIASurrogate Model=Res1522022.09 | — | 22.73 | 22.76 | 28.64 | 22.16 | 36.06 | 32.41 | 27.46 | |
| BIASurrogate Model=Den1692022.09 | — | 27.01 | 29.59 | 34.65 | 43.42 | 13.57 | 24.69 | 28.82 | |
| CDASurrogate Model=VGG192022.09 | — | 6.57 | 8.57 | 37.38 | 43.56 | 38.41 | 35.59 | 28.34 | |
| CDASurrogate Model=Res1522022.09 | — | 30.16 | 37.79 | 42.83 | 45.13 | 49.24 | 44.93 | 41.68 | |
| CDASurrogate Model=Den1692022.09 | — | 39.39 | 41.19 | 46.34 | 50.82 | 43.42 | 44.63 | 44.29 | |
| GAMASurrogate Model=VGG192022.09 | — | 3.59 | 3.75 | 27.13 | 30.43 | 24.6 | 21.77 | 18.54 | |
| GAMASurrogate Model=Res1522022.09 | — | 24.52 | 27.73 | 30.62 | 23.04 | 31.3 | 27.31 | 27.42 | |
| GAMASurrogate Model=Den1692022.09 | — | 10.4 | 13.47 | 19.3 | 23.46 | 8.65 | 10.29 | 14.26 | |
| GAPSurrogate Model=VGG192022.09 | — | 8.31 | 10.61 | 39.49 | 48 | 41 | 38.12 | 30.92 | |
| GAPSurrogate Model=Res1522022.09 | — | 42.59 | 45.41 | 51.22 | 53.75 | 54.18 | 52.54 | 49.94 | |
| GAPSurrogate Model=Den1692022.09 | — | 29.85 | 32.77 | 38.15 | 40.84 | 24.98 | 33.99 | 33.43 | |
| No AttackSurrogate Model=None2022.09 | — | 65.8 | 66.48 | 65.64 | 67.95 | 67.59 | 66.39 | 66.64 | |
| TAPSurrogate Model=VGG192022.09 | — | 3.45 | 6.14 | 25.77 | 29.56 | 20.05 | 21.15 | 17.68 | |
| TAPSurrogate Model=Res1522022.09 | — | 24.34 | 25.94 | 29.4 | 24.13 | 35.58 | 33.06 | 28.74 | |
| TAPSurrogate Model=Den1692022.09 | — | 23.01 | 27.73 | 32.75 | 40.22 | 15.73 | 20.9 | 26.72 |