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RepPoints v2: Verification Meets Regression for Object Detection

NeurIPS 2020 · Detection and segmentation › CNN features · approach: Joint detection and instance segmentation · 81 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add corner verification to RepPoints (ablation)RepPoints · COCO valAP: 39.1 -> 40.5Helped
Add corner verification to RepPoints (ablation)RepPoints · COCO valAP90: 14.4 -> 18.4Helped
Add foreground verification after corner verification (ablation)RepPoints · COCO valAP: 40.5 -> 41.0Helped
Add auxiliary verification for multi-task learning (ablation)RepPoints · COCO valAP: 39.1 -> 39.5Helped
Add feature enhancement to multi-task verification (ablation)RepPoints · COCO valAP: 39.5 -> 40.2Helped
Add joint inference to feature enhancement and multi-task verification (ablation)RepPoints · COCO valAP: 40.2 -> 41.0Helped
Use explicit-corners representation instead of min-max, partial min-max, or momentum conversion (ablation)RepPoints with verification · COCO valAP: 0.2-0.3 mAP betterHelped
Add verification fusion (ablation)RepPoints · COCO val, 2x multi-scale, ResNet-50AP: 41.8 -> 43.9Helped
Add verification fusion (ablation)RepPoints · COCO val, 2x multi-scale, ResNet-101AP: 43.4 -> 45.5Helped
Add verification fusion (ablation)RepPoints · COCO val, 2x multi-scale, ResNeXt-101AP: 45.5 -> 47.3Helped
Add verification fusionFCOS · COCO test-devAP: 38.2 -> 39.5Helped
Add contour and foreground verificationDense RepPoints · COCO test-dev instance segmentationmask AP: 37.6 -> 38.6Helped

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