Multispectral Pedestrian Detection on KAIST (test)
89.54Overall ScoreACF
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ACFBackbone=VGG16, IoU threshold=0.72024.01 | 89.54 | 88.48 | 92.47 | 79.25 | 82.96 | 97.86 | 87.59 | 94.61 | 97.86 | — | — | — | — | — | — | |
| Halfway FusionBackbone=VGG16, IoU threshold=0.72024.01 | 83.15 | 81.31 | 86.34 | 49.59 | 74.87 | 97 | 80.35 | 90.42 | 94.15 | — | — | — | — | — | — | |
| IATDNN+IASSBackbone=VGG16, IoU threshold=0.72024.01 | 80.91 | 80.46 | 82.32 | 45.4 | 70.85 | 99 | 78.25 | 84.51 | 93.13 | — | — | — | — | — | — | |
| IAF R-CNNBackbone=VGG16, IoU threshold=0.72024.01 | 79.59 | 77.02 | 84.38 | 33.75 | 70.24 | 98.12 | 76.74 | 84.58 | 93.69 | — | — | — | — | — | — | |
| FusionRPN+BFBackbone=VGG16, IoU threshold=0.72024.01 | 79.3 | 76.98 | 83.71 | 35.78 | 68.82 | 99.38 | 76.29 | 86.8 | 92.47 | — | — | — | — | — | — | |
| CIANBackbone=VGG16, IoU threshold=0.72024.01 | 74.45 | 72.44 | 78.92 | 38.31 | 63.98 | 87.12 | 70.39 | 80.95 | 91.68 | — | — | — | — | — | — | |
| MSDS-R-CNNBackbone=VGG16, IoU threshold=0.72024.01 | 71.93 | 69.85 | 78.52 | 35.49 | 57.95 | 93.15 | 68.41 | 76.23 | 90.37 | — | — | — | — | — | — | |
| AR-CNNBackbone=VGG16, IoU threshold=0.72024.01 | 68.64 | 64.45 | 77.29 | 25.19 | 53.88 | 91.72 | 64.91 | 73.18 | 88.7 | — | — | — | — | — | — | |
| ACFBackbone=VGG16, IoU threshold=0.52024.01 | 67.74 | 64.31 | 75.06 | 28.74 | 53.67 | 88.2 | 62.94 | 81.4 | 88.08 | — | — | — | — | — | — | |
| MBNetBackbone=ResNet50, IoU threshold=0.72024.01 | 65.14 | 63.5 | 67.76 | 16.98 | 51.21 | 85.33 | 60.84 | 69.59 | 86.22 | — | — | — | — | — | — | |
| CMPDBackbone=ResNet50, IoU threshold=0.72024.01 | 63.93 | 61.77 | 68.83 | 19.31 | 49.69 | 83.93 | 59.79 | 66.64 | 84.79 | — | — | — | — | — | — | |
| TSFADetBackbone=ResNet50, IoU threshold=0.72024.01 | 63.85 | 61.78 | 68.38 | 19.5 | 49.32 | 81.9 | 58.93 | 72.09 | 87.1 | — | — | — | — | — | — | |
| CAGTDetBackbone=ResNet50, IoU threshold=0.72024.01 | 61.71 | 60.24 | 65.45 | 20.8 | 47.4 | 78.31 | 56.95 | 67.39 | 85.11 | — | — | — | — | — | — | |
| RSDetBackbone=ResNet50, IoU threshold=0.72024.01 | 60.04 | 59.17 | 62.54 | 11.81 | 46.03 | 71.62 | 54.41 | 65.79 | 82.24 | — | — | — | — | — | — | |
| FusionRPN+BFBackbone=VGG16, IoU threshold=0.52024.01 | 51.7 | 52.33 | 51.09 | 0.04 | 30.87 | 88.86 | 47.45 | 56.1 | 72.2 | — | — | — | — | — | — | |
| Halfway FusionBackbone=VGG16, IoU threshold=0.52024.01 | 49.18 | 47.58 | 52.35 | 8.13 | 30.34 | 75.7 | 43.13 | 65.21 | 74.36 | — | — | — | — | — | — | |
| IATDNN+IASSBackbone=VGG16, IoU threshold=0.52024.01 | 48.96 | 49.02 | 49.37 | 0.04 | 28.55 | 83.42 | 45.43 | 46.25 | 64.57 | — | — | — | — | — | — | |
| ACF2020.08 | 47.32 | 42.57 | 56.17 | 28.74 | 53.67 | 88.2 | 62.94 | 81.4 | 88.08 | — | — | — | — | — | — | |
| IAF R-CNNBackbone=VGG16, IoU threshold=0.52024.01 | 44.23 | 42.46 | 47.7 | 0.96 | 25.54 | 77.84 | 40.17 | 48.4 | 69.76 | — | — | — | — | — | — | |
| CIANBackbone=VGG16, IoU threshold=0.52024.01 | 35.53 | 36.02 | 32.38 | 3.71 | 19.04 | 55.82 | 30.31 | 41.57 | 62.48 | — | — | — | — | — | — | |
| AR-CNNBackbone=VGG16, IoU threshold=0.52024.01 | 34.95 | 34.36 | 36.12 | 0 | 16.08 | 69 | 31.4 | 38.63 | 55.73 | — | — | — | — | — | — | |
| MSDS-R-CNNBackbone=VGG16, IoU threshold=0.52024.01 | 34.15 | 32.06 | 38.83 | 1.29 | 16.19 | 63.73 | 29.86 | 38.71 | 63.37 | — | — | — | — | — | — | |
| MBNetBackbone=ResNet50, IoU threshold=0.52024.01 | 31.87 | 32.37 | 30.95 | 0 | 16.07 | 55.99 | 27.74 | 35.43 | 59.14 | — | — | — | — | — | — | |
| TSFADetBackbone=ResNet50, IoU threshold=0.52024.01 | 30.74 | 31.76 | 27.44 | 0 | 15.99 | 50.71 | 25.63 | 37.29 | 65.67 | — | — | — | — | — | — | |
| CMPDBackbone=ResNet50, IoU threshold=0.52024.01 | 28.98 | 28.3 | 30.56 | 0 | 12.99 | 51.22 | 24.04 | 33.88 | 59.37 | — | — | — | — | — | — | |
| CAGTDetBackbone=ResNet50, IoU threshold=0.52024.01 | 28.96 | 28.79 | 27.73 | 0 | 14 | 49.4 | 24.48 | 33.2 | 59.35 | — | — | — | — | — | — | |
| Halfway Fusion2020.08 | 25.75 | 24.88 | 26.59 | 8.13 | 30.34 | 75.7 | 43.13 | 65.21 | 74.36 | — | — | — | — | — | — | |
| RSDetBackbone=ResNet50, IoU threshold=0.52024.01 | 24.79 | 24.18 | 26.49 | 0 | 10.69 | 37.68 | 18.97 | 33.27 | 55.59 | — | — | — | — | — | — | |
| FusionRPN+BF2020.08 | 18.29 | 19.57 | 16.27 | 0.04 | 30.87 | 88.86 | 47.45 | 56.1 | 72.2 | — | — | — | — | — | — | |
| IAF R-CNN2020.08 | 15.73 | 14.55 | 18.26 | 0.96 | 25.54 | 77.84 | 40.17 | 48.4 | 69.76 | — | — | — | — | — | — | |
| IATDNN+IASS2020.08 | 14.95 | 14.67 | 15.72 | 0.04 | 28.55 | 83.42 | 45.43 | 46.25 | 64.57 | — | — | — | — | — | — | |
| CIAN2020.08 | 14.12 | 14.77 | 11.13 | 3.71 | 19.04 | 55.82 | 30.31 | 41.57 | 62.48 | — | — | — | — | — | — | |
| MBNetBackbone=ResNet-50, IAFC=false, DMAF=false, Aligned=false2020.08 | 11.93 | 12.51 | 10.86 | 0 | 20.08 | 63.7 | 34.16 | 44.1 | 65.11 | — | — | — | — | — | — | |
| MSDS-RCNN2020.08 | 11.63 | 10.6 | 13.73 | 1.29 | 16.19 | 63.73 | 29.86 | 38.71 | 63.37 | — | — | — | — | — | — | |
| MBNetBackbone=ResNet-50, IAFC=true, DMAF=false, Aligned=false2020.08 | 10.96 | 11.13 | 10.48 | 0 | 20.33 | 61.25 | 33.5 | 39.8 | 62.68 | — | — | — | — | — | — | |
| MBNetBackbone=ResNet-50, IAFC=false, DMAF=true, Aligned=false2020.08 | 10.53 | 11 | 9.75 | 0 | 16.5 | 58.47 | 29.39 | 40.25 | 59.13 | — | — | — | — | — | — | |
| MBNetBackbone=ResNet-50, IAFC=true, DMAF=true, Aligned=false2020.08 | 9.36 | 9.72 | 8.63 | 0 | 16.18 | 54.66 | 28.02 | 38.19 | 60.7 | — | — | — | — | — | — | |
| AR-CNN2020.08 | 9.34 | 9.94 | 8.38 | 0 | 16.08 | 69 | 31.4 | 38.63 | 55.73 | — | — | — | — | — | — | |
| MBNetBackbone=ResNet-50, IAFC=true, DMAF=true, Aligned=true2020.08 | 8.13 | 8.28 | 7.86 | 0 | 16.07 | 55.99 | 27.74 | 35.43 | 59.14 | — | — | — | — | — | — | |
| AANet-Faster RCNNPublication Year=ACM MM 2023, Backbone=ResNet50, GPU=1080Ti, Detector Stage Type=Two-stage, Time=0.102024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 6.91 | 6.66 | 7.31 | |
| AANet-RetinaNetPublication Year=ACM MM 2023, Backbone=ResNet50, GPU=1080Ti, Detector Stage Type=One-stage, Time=0.062024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 7.51 | 7.74 | 7.39 | |
| ACFBackbone=VGG-162026.01 | — | — | — | — | — | — | — | — | — | 67.74 | 64.31 | 75.06 | — | — | — | |
| AMFD-Faster RCNNBackbone=ResNet18, GPU=1080Ti, Detector Stage Type=Two-stage, Time=0.052024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 7.23 | 9.83 | 2.18 | |
| AMFD-RetinaNetBackbone=ResNet18, GPU=1080Ti, Detector Stage Type=One-stage, Time=0.042024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 8.82 | 10.98 | 4.86 | |
| AR-CNNBackbone=VGG-162026.01 | — | — | — | — | — | — | — | — | — | 34.95 | 34.36 | 36.12 | — | — | — | |
| BAANetPublication Year=ICRA 2022, Backbone=ResNet50, GPU=1080Ti, Detector Stage Type=Two-stage, Time=0.072024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 7.92 | 8.37 | 6.98 | |
| C2FormerBackbone=ResNet-502026.01 | — | — | — | — | — | — | — | — | — | 28.39 | 28.48 | 26.67 | — | — | — | |
| CAGTDetBackbone=ResNet-502026.01 | — | — | — | — | — | — | — | — | — | 28.96 | 27.73 | 28.79 | — | — | — | |
| CLANBackbone=VGG-162026.01 | — | — | — | — | — | — | — | — | — | 35.53 | 36.02 | 32.38 | — | — | — | |
| CMMPublication Year=CVPR 2024, Backbone=ResNet50, Detector Stage Type=Two-stage2024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 8.54 | 9.6 | 5.93 | |
| CMPDBackbone=ResNet-502026.01 | — | — | — | — | — | — | — | — | — | 28.98 | 28.3 | 30.56 | — | — | — | |
| CMPDPublication Year=TMM 2022, Backbone=ResNet50, GPU=1080Ti, Detector Stage Type=Two-stage, Time=0.112024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 8.16 | 8.77 | 7.31 | |
| HalfwayFusionBackbone=VGG-162026.01 | — | — | — | — | — | — | — | — | — | 49.18 | 47.58 | 52.35 | — | — | — | |
| IATDNN+IASSBackbone=VGG-162026.01 | — | — | — | — | — | — | — | — | — | 48.96 | 49.02 | 49.37 | — | — | — | |
| M-SpecGeneBackbone=ViT-B2026.01 | — | — | — | — | — | — | — | — | — | 23.74 | 25.66 | 19.42 | — | — | — | |
| MBNetBackbone=ResNet-502026.01 | — | — | — | — | — | — | — | — | — | 31.87 | 32.37 | 30.95 | — | — | — | |
| MBNetPublication Year=ECCV2020, Backbone=ResNet50, GPU=1080Ti, Detector Stage Type=One-stage, Time=0.072024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 8.13 | 8.28 | 7.86 | |
| MFPT-Faster RCNNPublication Year=TITS 2023, Backbone=ResNet50, GPU=1080Ti, Detector Stage Type=Two-stage, Time=0.082024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 7.72 | 8.26 | 4.53 | |
| MFPT-RetinaNetPublication Year=TITS 2023, Backbone=ResNet50, GPU=1080Ti, Detector Stage Type=One-stage, Time=0.052024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 8.42 | 8.74 | 6.63 | |
| RITAPublication Year=TIV 2024, Backbone=ResNet50, Detector Stage Type=Two-stage2024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 7.64 | 7.73 | 7.11 | |
| SLGNetBackbone=ViT-B2026.01 | — | — | — | — | — | — | — | — | — | 19.88 | 21.01 | 20.56 | — | — | — | |
| SMPDPublication Year=TCSVT 2023, Backbone=VGG16, GPU=1080Ti, Detector Stage Type=Two-stage, Time=0.092024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 7.44 | 8.21 | 6.23 | |
| UFF+UCGPublication Year=TCSVT 2022, Backbone=ResNet50, GPU=1080Ti, Detector Stage Type=Two-stage, Time=0.092024.05 | — | — | — | — | — | — | — | — | — | — | — | — | 7.89 | 8.18 | 6.96 | |
| UniRGBBackbone=ViT-B2026.01 | — | — | — | — | — | — | — | — | — | 25.21 | 23.95 | 25.93 | — | — | — |