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
モデル名 | mAP | Paper Title | Repository |
---|---|---|---|
Q2L-TResL(448 resolution) | 96.6 | Query2Label: A Simple Transformer Way to Multi-Label Classification | |
Ours PF-DLDL | 92.4 | Deep Label Distribution Learning with Label Ambiguity | |
MCAR (ResNet101, 448x448) | 94.3 | Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition |
0 of 3 row(s) selected.