Multi-label Classification on MS-COCO 2014 (val)
78mAP (Overall)Full label
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Full labelTraining Strategy=End-to-end2022.06 | 78 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Full labelTraining Strategy=LinearInit.2022.06 | 77.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| LL-RTraining Strategy=LinearInit.2022.06 | 71.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| LL-CtTraining Strategy=LinearInit.2022.06 | 71.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| LL-RTraining Strategy=End-to-end2022.06 | 71 | — | — | — | — | — | — | — | — | — | — | — | — | |
| LL-CpTraining Strategy=LinearInit.2022.06 | 71 | — | — | — | — | — | — | — | — | — | — | — | — | |
| LL-CpTraining Strategy=End-to-end2022.06 | 70.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| LL-CtTraining Strategy=End-to-end2022.06 | 70.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSANTraining Strategy=LinearInit.2022.06 | 69.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ROLETraining Strategy=LinearInit.2022.06 | 69 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Naive ANTraining Strategy=LinearInit.2022.06 | 68.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| WANTraining Strategy=LinearInit.2022.06 | 68 | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSANTraining Strategy=End-to-end2022.06 | 66.9 | — | — | — | — | — | — | — | — | — | — | — | — | |
| EPRTraining Strategy=LinearInit.2022.06 | 66.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| ROLETraining Strategy=End-to-end2022.06 | 66.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| WANTraining Strategy=End-to-end2022.06 | 64.8 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Naive ANTraining Strategy=End-to-end2022.06 | 64.1 | — | — | — | — | — | — | — | — | — | — | — | — | |
| EPRTraining Strategy=End-to-end2022.06 | 63.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| CNN-RNN2018.02 | — | — | — | — | — | — | — | 61.1 | 66 | 55.6 | 67.8 | 69.2 | 66.4 | |
| OursBackbone=ResNet-101, Resolution=448x4482018.02 | — | 74.9 | 80.4 | 70.2 | 78.4 | 85.2 | 72.5 | 70.6 | 84.5 | 62.2 | 74.7 | 89.1 | 64.3 | |
| ResNet101 baselineBackbone=ResNet-101, Resolution=448x4482018.02 | — | 72.8 | 73.8 | 72.9 | 76.3 | 77.5 | 75.1 | 69.5 | 78.3 | 63.7 | 73.1 | 83.8 | 64.9 | |
| ResNet101-SRNBackbone=ResNet-1012018.02 | — | 70 | 81.2 | 63.3 | 75 | 84.1 | 67.7 | 66.3 | 85.8 | 57.5 | 72.1 | 88.1 | 61.1 | |
| RLSD2018.02 | — | — | — | — | — | — | — | 62 | 67.6 | 57.2 | 66.5 | 70.1 | 63.4 | |
| RNN-Attention2018.02 | — | — | — | — | — | — | — | 67.4 | 79.1 | 58.7 | 72 | 84 | 63 |