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BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation

CVPR 2020 · Detection and segmentation › CNN features · approach: Unified panoptic segmentation · 78 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use BANet instead of AUNetCOCO val, ResNet-50-FPN panoptic segmentation · COCO valPQ: 39.6 -> 41.1Helped
Use BANet with deformable convolution instead of UpsNetCOCO val, ResNet-50-FPN panoptic segmentation · COCO valPQ: 42.5 -> 43.0Helped
Use BANet with deformable convolution instead of UpsNetCOCO test-dev, DCN-101-FPN panoptic segmentation · COCO test-devPQ: 46.6 -> 47.3Helped
Add SIM to the baseline (ablation)BANet · COCO valPQ: 39.1 -> 39.5Helped
Add OCM to SIM (ablation)BANet · COCO valPQ: 39.5 -> 40.0Helped
Add S2I to SIM and OCM (ablation)BANet · COCO valRQTh: +0.4%Helped
Add deformable convolution to the semantic head (ablation)BANet with SIM, OCM, and S2I · COCO valPQ: 40.3 -> 41.8Helped
Add occlusion handling instead of heuristic fusion (ablation)BANet with deformable convolution · COCO valPQTh: 48.5 -> 50.5Helped
Use ResNet-101-FPN instead of ResNet-50-FPN (ablation)BANet with occlusion handling · COCO valPQ: 43.0 -> 44.0Helped
Replace RoIInlay with RoIUpsample (ablation)Model with SIM · COCO valSQ: 78.0 -> 77.0Hurt
Use ground-truth overlap relationships for occlusion resolution (ablation)BANet · COCO valPQTh: 50.5 -> 53.2Helped

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