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DAP: Detection-Aware Pre-Training With Weak Supervision

CVPR 2021 · Detection and segmentation › Weakly supervised detection and segmentation · approach: Weakly supervised detection · 14 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add CAM pseudo-box generation and detector pre-training after ImageNet-1M classification pre-trainingFaster R-CNN FPN ResNet-50 · COCO 2017 valAP .5:.95: 36.73 -> 37.25 (+0.52)Helped
Add CAM pseudo-box generation and detector pre-training after ImageNet-14M classification pre-trainingFaster R-CNN FPN ResNet-50 · COCO 2017 valAP .5:.95: 38.87 -> 39.57 (+0.70)Helped
Add CAM pseudo-box generation and detector pre-training after ImageNet-1M classification pre-trainingFaster R-CNN FPN ResNet-50 · VOC 2007 test, 07 trainvalAP .5: 77.36 -> 79.93 (+2.57)Helped
Add CAM pseudo-box generation and detector pre-training after ImageNet-14M classification pre-trainingFaster R-CNN FPN ResNet-50 · VOC 2007 test, 07 trainvalAP .5: 80.74 -> 84.24 (+3.50)Helped
Add CAM pseudo-box generation and detector pre-training after ImageNet-1M classification pre-trainingFaster R-CNN FPN ResNet-50 · VOC 2007 test, 07+12 trainvalAP .5: 83.77 -> 84.49 (+0.72)Helped
Add CAM pseudo-box generation and detector pre-training after ImageNet-14M classification pre-trainingFaster R-CNN FPN ResNet-50 · VOC 2007 test, 07+12 trainvalAP .5: 86.91 -> 87.84 (+0.93)Helped
Add DAP pre-training rather than classification pre-trainingFaster R-CNN FPN ResNet-50 · COCO 5-shotAP .5:.95: +2.6Helped
Add DAP pre-training rather than classification pre-trainingFaster R-CNN FPN ResNet-50 · COCO 5-shotAP .5:.95: +4.7Helped
Add DAP pre-training rather than classification pre-trainingFaster R-CNN FPN ResNet-50 · VOC 5-shotAP .5: +13.4 (IN-1M); +19.5 (IN-14M)Helped
Add full-network feature adaptation during DAP detector pre-training instead of freezing ResNet-50 (ablation)Faster R-CNN FPN ResNet-50 · COCO 2017 valAP .5:.95: 36.89 -> 37.25Helped
Use multi-threshold CAM box generation instead of any single tested threshold (ablation)DAP Faster R-CNN FPN ResNet-50 · COCO 2017 valAP .5:.95: 36.89, 36.82, 36.90, 36.97 -> 37.25Helped
Vary the pseudo-box NMS IoU threshold from 0.8 to the tested alternatives (ablation)DAP Faster R-CNN FPN ResNet-50 · COCO 2017 valAP .5:.95: 37.25 (0.8); 37.26 (0.9); 37.12 (0.5); 36.98 (0.6); 37.13 (0.7); 37.02 (1.0)No clear effect

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