Research map / Detection and segmentation / CNN features
InstanceCut: From Edges to Instances With MultiCut
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace Dilation10 with LRR-4x for semantic segmentation (ablation) | InstanceCut · CityScapes validation | AP: 14.8 -> 15.8 | Helped |
| Replace Dilation10 with LRR-4x for semantic segmentation (ablation) | InstanceCut · CityScapes validation | AP50%: 30.7 -> 32.4 | Helped |
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