Research map / Detection and segmentation / CNN features
Learning Integrated Holism-Landmark Representations for Long-Term Loop Closure Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| learn holism-landmark integrated representation (HALI) on HOG landmark features instead of using HOG features alone | HOG-based place representation · CMU-VL | precision-recall curve | Helped |
| learn holism-landmark integrated representation (HALI) on HOG landmark features instead of using HOG features alone | HOG-based place representation · Nordland | precision-recall curve | Helped |
| apply HALI to other holistic features (color, LBP, SURF, CNN, BRIEF-GIST) | HALI · CMU-VL | precision-recall curve | Helped |
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- Loopy-SLAM: Dense Neural SLAM with Loop Closures (CVPR 2024 · similarity 0.86)
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- Photo-SLAM: Real-time Simultaneous Localization and Photorealistic Mapping for Monocular Stereo and RGB-D Cameras (CVPR 2024 · similarity 0.82)
- DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization (NeurIPS 2024 · similarity 0.82)
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