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Revisiting the Sibling Head in Object Detector

CVPR 2020 · Detection and segmentation › CNN features · approach: Region-based and query-based detectors · 487 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace the shared proposal with task-specific spatial proposals (ablation)Faster R-CNN sibling head · COCO minivalAP: 36.1 -> 38.2Helped
Add progressive constraint to TSD (ablation)TSD · COCO minivalAP: 38.2 -> 41.0Helped
Add joint training with the sibling head (ablation)TSD · COCO minivalAP: 38.2 -> 39.7Helped
Disentangle tasks in the backbone rather than spatially at the detection head (ablation)ResNet-50 Faster R-CNN · COCO minivalAP: 36.1 -> 22.3; 22.0; 20.3Hurt
Use separate task-specific heads without task-specific spatial proposals (ablation)ResNet-50 Faster R-CNN · COCO minivalAP: 36.1 -> 37.3Helped
Add a classification margin constraint (ablation)TSD jointly trained with sibling head · COCO minivalAP: 39.7 -> 40.1Helped
Add a localization margin constraint (ablation)TSD jointly trained with sibling head · COCO minivalAP: 39.7 -> 40.8Helped
Use pointwise deformation for localization instead of proposal-wise translation (ablation)TSD with pointwise classification proposals, without progressive constraint · COCO minivalAP: 38.2 -> 38.5Helped
Use pointwise deformation for classification and proposal-wise translation for localization (ablation)TSD with progressive constraint · COCO minivalAP: 39.8 -> 41.0Helped
Add TSD and progressive constraintFaster R-CNN · COCO minivalAP: 36.1 -> 41.0Helped
Add TSDFaster R-CNN · OpenImage validationAP.5: 64.64 -> 68.18Helped
Add TSD and progressive constraintFaster R-CNN with ResNet-101-DCN · COCO minivalAP: 40.8 -> 43.5Helped

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