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Hybrid Task Cascade for Instance Segmentation

CVPR 2019 · Detection and segmentation › CNN features · approach: Boundary-aware instance segmentation · 1,531 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use HTC instead of Cascade Mask R-CNNResNet-50-FPN instance segmentation · COCO test-devmask AP: 36.9 -> 38.4Helped
Use HTC instead of Cascade Mask R-CNNResNet-101-FPN instance segmentation · COCO test-devmask AP: 38.4 -> 39.7Helped
Use HTC instead of Cascade Mask R-CNNResNeXt-101-FPN instance segmentation · COCO test-devmask AP: 40.1 -> 41.2Helped
Interleave bbox and mask branch execution (ablation)Cascade Mask R-CNN · COCO 2017 valmask AP: 36.5 -> 36.7Helped
Add mask information flow between stages (ablation)Interleaved Cascade Mask R-CNN · COCO 2017 valmask AP: 36.7 -> 37.4Helped
Add semantic segmentation branch (ablation)Cascade with interleaving and mask information flow · COCO 2017 valmask AP: 37.4 -> 38.0Helped
Interleave bbox and mask branch execution (ablation)Mask R-CNN · COCO 2017 valmask AP: 35.1 -> 35.6Helped
Add mask information flow between stages (ablation)Interleaved Cascade Mask R-CNN, ensembled stages · COCO 2017 valAP: 36.7 -> 37.4Helped
Add semantic segmentation supervision without feature fusion (ablation)HTC · COCO 2017 valAP: 36.5 -> 37.1Helped
Fuse semantic features with both bbox and mask branches rather than using no fusion (ablation)HTC with semantic segmentation · COCO 2017 valAP: 37.1 -> 37.5Helped
Vary semantic loss weight beta from 0.5 to 3 (ablation)HTC · COCO 2017 valAP: 37.9; 38.0; 37.9; 37.8No clear effect
Add ASPP after FPN (ablation)HTC · COCO 2017 valAP: 38.0 -> 38.1Helped

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