Research map / Detection and segmentation / CNN features
Symmetry-Aware Transformer-Based Mirror Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SATNet with loose-symmetry modeling instead of the strongest reported baseline | Mirror detection · MSD | IoU: 81.54 -> 85.41 | Helped |
| Use SATNet without depth instead of the strongest reported depth baseline | Mirror detection · RGBD-Mirror | IoU: 77.77 -> 78.42 | Helped |
| Add separately supervised dual-path features without suitable fusion or matching (ablation) | Swin-S mirror detector · MSD | IoU: 80.46 -> 79.59 | Hurt |
| Add SAAM at scale 3 (ablation) | Dual-Path Swin-S · MSD | Fβ: 0.903 -> 0.918 | Helped |
| Apply SAAM at the lower scale as well as scale 3 (ablation) | Dual-Path + SAAM · MSD | Fβ: 0.918 -> 0.903 | Hurt |
| Replace UperNet with CFDM (ablation) | Dual-Path Swin-S · MSD | IoU: 79.59 -> 81.98 | Helped |
| Combine scale-3 SAAM with CFDM (ablation) | Dual-Path Swin-S · MSD | IoU: 81.98 -> 82.96 | Helped |
| Add SAAM at both high scales and use CFDM (ablation) | Dual-Path Swin-S · MSD | IoU: 80.03 -> 85.41 | Helped |
Closest papers by meaning
- Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation (CVPR 2025 · similarity 0.86)
- Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine (CVPR 2025 · similarity 0.86)
- Weakly-Supervised Mirror Detection via Scribble Annotations (AAAI 2024 · similarity 0.85)
- Effective Video Mirror Detection with Inconsistent Motion Cues (CVPR 2024 · similarity 0.84)
- ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision (AAAI 2024 · similarity 0.84)
- Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It (ICML 2025 · similarity 0.83)
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