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Multi Label Classification On Pascal Voc 2012
評価指標
mAP
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
| Paper Title | ||
|---|---|---|
| Q2L-TResL(448 resolution) | 96.6 | Query2Label: A Simple Transformer Way to Multi-Label Classification |
| MCAR (ResNet101, 448x448) | 94.3 | Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition |
| Ours PF-DLDL | 92.4 | Deep Label Distribution Learning with Label Ambiguity |
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