Pedestrian Detection On Llvip
Métriques
AP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | AP |
|---|---|
| cmx-cross-modal-fusion-for-rgb-x-semantic | 0.596 |
| cross-modality-fusion-transformer-for | 0.636 |
| when-pedestrian-detection-meets-multi-modal | 0.726 |
| multimodal-object-detection-by-channel | 0.592 |
| multimodal-object-detection-by-channel | 0.558 |
| multimodal-object-detection-by-channel | 0.551 |
| multimodal-object-detection-via-bayesian | 0.515 |
| unirgb-ir-a-unified-framework-for-visible | 0.632 |
| multimodal-object-detection-by-channel | 0.515 |
| insanet-intra-inter-spectral-attention | - |
| llvip-a-visible-infrared-paired-dataset-for | 0.527 |
| mipa-mixed-patch-infrared-visible-modality | 0.665 |
| llvip-a-visible-infrared-paired-dataset-for | 0.466 |
| removal-and-selection-improving-rgb-infrared | 0.613 |