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SOLOv2: Dynamic and Fast Instance Segmentation

NeurIPS 2020 · Detection and segmentation › CNN features · approach: Boundary-aware instance segmentation · 475 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
dynamic mask kernels + unified mask feature + Matrix NMS (SOLOv2 vs SOLO)SOLO · COCO test-devmask AP: 37.8 -> 39.7Helped
add explicit coordinates to kernel and feature branches (ablation)SOLOv2 · COCO val2017mask AP: 36.3 -> 37.8Helped
add coordinates to kernel branch only (ablation)SOLOv2 · COCO val2017mask AP: 36.3 -> 36.3No clear effect
Matrix NMS instead of Fast NMS (ablation)SOLOv2 · COCO val2017mask AP: 36.2 -> 36.6Helped
Matrix NMS instead of Soft-NMS (ablation)SOLOv2 · COCO val2017NMS time (ms): 22 -> <1Helped
unified mask feature instead of separate per-level (ablation)SOLOv2 · COCO val2017mask AP: 37.3 -> 37.8Helped
kernel input channels 128 -> 256 (ablation)SOLOv2 · COCO val2017mask AP: 37.4 -> 37.8Helped
kernel 3x3 instead of 1x1 (64 ch) (ablation)SOLOv2 · COCO val2017mask AP: 37.4 -> 37.4No clear effect
kernel channels 256 -> 512 (ablation)SOLOv2 · COCO val2017mask AP: 37.8 -> 37.7No clear effect
3x multi-scale schedule vs 1x (ablation)SOLOv2 · COCO val2017mask AP: 34.8 -> 37.8Helped

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