Pedestrian Attribute Recognition On Pa 100K
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| rethinking-of-pedestrian-attribute | 78.56 |
| humanbench-towards-general-human-centric | 90.8 |
| hydraplus-net-attentive-deep-features-for | 72.19% |
| unihcp-a-unified-model-for-human-centric | 86.18 |
| label2label-a-language-modeling-framework-for | 79.23 |
| towards-unified-text-based-person-retrieval-a | 80.17 |
| hulk-a-universal-knowledge-translator-for | 87.85 |
| hulk-a-universal-knowledge-translator-for | 88.97 |
| improving-pedestrian-attribute-recognition | 77.08% |
| c2t-net-channel-aware-cross-fused-transformer | 87.2 |
| beyond-appearance-a-semantic-controllable | 86.38 |