Multi Label Classification On Pascal Voc 2007
评估指标
mAP
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | mAP |
|---|---|
| query2label-a-simple-transformer-way-to-multi | 96.1 |
| query2label-a-simple-transformer-way-to-multi | 97.3 |
| transformer-based-dual-relation-graph-for-1 | 95.0 |
| multi-layered-semantic-representation-network | 96.0 |
| exploit-bounding-box-annotations-for-multi | 92.0 |
| imagenet-21k-pretraining-for-the-masses | 93.1 |
| m3tr-multi-modal-multi-label-recognition-with | 96.5 |
| gkgnet-group-k-nearest-neighbor-based-graph | 96.8 |
| asymmetric-loss-for-multi-label | 94.6 |
| multi-label-image-recognition-with-multi | 94.8 |
| multi-label-image-recognition-with-graph | 94.0 |
| query2label-a-simple-transformer-way-to-multi | 96.9 |
| learning-semantic-specific-graph | 95.0 |
| combining-metric-learning-and-attention-heads | 96.70 |
| learning-semantic-specific-graph | 93.4 |
| asymmetric-loss-for-multi-label | 95.8 |
| deep-label-distribution-learning-with-label | 93.4 |