Research map / Detection and segmentation / Open-set and few-shot detection
Parametric Object Motion From Blur
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed parametric motion model and segmentation instead of [4] | Object motion estimation · Synthetic non-uniform motion | segmentation score (IoU): 0.33 -> 0.43 | Helped |
| Use the proposed parametric motion model instead of [4] | Object motion estimation · Synthetic non-uniform motion | motion error (AEP): 13.37 -> 7.43 | Helped |
| Use the proposed method instead of [4] | Object motion estimation · Synthetic uniform motion | segmentation score (IoU): 0.53 -> 0.50 | Hurt |
| Use the proposed method instead of [4] | Object motion estimation · Synthetic uniform motion | motion error (AEP): 3.84 -> 4.81 | Hurt |
| Use the proposed method instead of [7] | Object motion estimation · Synthetic uniform motion | motion error (AEP): 17.21 -> 4.81 | Helped |
| Use the proposed method instead of [7] | Object motion estimation · Synthetic non-uniform motion | motion error (AEP): 15.06 -> 7.43 | Helped |
| Add foreground and background color models to refine the segmentation in image space (ablation) | Two-stage motion estimation · Motion-blurred images | segmentation accuracy | Helped |
Closest papers by meaning
- Optical Flow Estimation from a Single Motion-blurred Image (AAAI 2021 · similarity 0.92)
- Motion-From-Blur: 3D Shape and Motion Estimation of Motion-Blurred Objects in Videos (CVPR 2022 · similarity 0.88)
- From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur (CVPR 2017 · similarity 0.88)
- Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring (CVPR 2024 · similarity 0.87)
- Parameterized Blur Kernel Prior Learning for Local Motion Deblurring (CVPR 2025 · similarity 0.86)
- Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization (CVPR 2024 · similarity 0.85)
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