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Beta R-CNN: Looking into Pedestrian Detection from Another Perspective

NeurIPS 2020 · Detection and segmentation › CNN features · approach: Pedestrian and crowd detection

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add BetaHead (regress 8 beta parameters) (ablation)Cascade R-CNN · CrowdHuman valMR-2: 43.8 -> 43.5Helped
add BetaHead (regress 8 beta parameters) (ablation)Cascade R-CNN · CrowdHuman valAP: 85.2 -> 85.5Helped
add BetaMask on top of BetaHead (ablation)Beta R-CNN · CrowdHuman valMR-2: 43.5 -> 41.3Helped
add BetaMask on top of BetaHead (ablation)Beta R-CNN · CrowdHuman valAP: 85.5 -> 87.1Helped
add Mask Loss (KL supervision of BetaMask) (ablation)Beta R-CNN · CrowdHuman valMR-2: 41.3 -> 41.1Helped
add BetaNMS (KL threshold 7) replacing IoU NMS (ablation)Beta R-CNN · CrowdHuman valMR-2: 41.1 -> 40.3Helped
add BetaNMS (KL threshold 7) replacing IoU NMS (ablation)Beta R-CNN · CrowdHuman valAP: 87.2 -> 88.2Helped
replace full-body IoU NMS with visible-box IoU NMS (ablation)Beta R-CNN · CrowdHuman valMR-2: 41.1 -> 42.0Hurt
replace full-body IoU NMS with visible-box IoU NMS (ablation)Beta R-CNN · CrowdHuman valAP: 87.2 -> 88.1Helped
combine fIoU and vIoU NMS vs fIoU NMS alone (ablation)Beta R-CNN · CrowdHuman valAP: 87.2 -> 88.1Helped
replace SoftNMS with BetaNMS (KL 7) (ablation)Beta R-CNN · CrowdHuman valMR-2: 41.1 -> 40.3Helped
lower BetaNMS KL threshold from 7 to 6 (ablation)Beta R-CNN · CrowdHuman valAP: 88.2 -> 89.6Mixed

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