Multi Label Classification On Pascal Voc 2012
Metrics
mAP
Results
Performance results of various models on this benchmark
Model Name | 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 |
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