Research map / Detection and segmentation / CNN features
CenterMask: Single Shot Instance Segmentation With Point Representation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Hourglass-104 instead of DLA-34 (ablation) | CenterMask · COCO minival | AP: 32.5 -> 33.9 | Helped |
| Use Hourglass-104 instead of DLA-34 (ablation) | CenterMask · COCO minival | FPS: 25.2 -> 12.3 | Hurt |
| Increase shape vector size from S=24 to S=32 (ablation) | CenterMask · COCO minival | AP: 32.0 -> 32.5 | Helped |
| Increase shape vector size from S=32 to S=48 (ablation) | CenterMask · COCO minival | AP: 32.5 -> 32.5 | No clear effect |
| Add the Local Shape branch (ablation) | CenterMask · COCO minival | AP: 21.7 -> 31.5 | Helped |
| Add the Global Saliency branch (ablation) | CenterMask · COCO minival | AP: 26.5 -> 31.5 | Helped |
| Use class-specific instead of class-agnostic Global Saliency (ablation) | CenterMask · COCO minival | AP: 31.5 -> 33.9 | Helped |
| Add direct Global Saliency supervision (ablation) | CenterMask · COCO minival | AP: 33.9 -> 34.4 | Helped |
| Embed CenterMask branches in FCOS with ResNet-101-FPN | FCOS · LVIS | AP: 36.0 -> 40.0 | Helped |
| Use CenterMask-FCOS with ResNeXt-101-FPN-DCN | CenterMask-FCOS · COCO test-dev | AP | Helped |
| Use the combined Local Shape and Global Saliency branches rather than either branch alone (ablation) | CenterMask · Overlapping-object images | mask quality | Mixed |
Closest papers by meaning
- PolarMask: Single Shot Instance Segmentation With Polar Representation (CVPR 2020 · similarity 0.91)
- CenterMask: Real-Time Anchor-Free Instance Segmentation (CVPR 2020 · similarity 0.91)
- BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation (CVPR 2020 · similarity 0.89)
- SOLOv2: Dynamic and Fast Instance Segmentation (NeurIPS 2020 · similarity 0.88)
- Mask Encoding for Single Shot Instance Segmentation (CVPR 2020 · similarity 0.87)
- MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation (AAAI 2024 · similarity 0.87)
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