https://github.com/JuanDuGit/DH3D
공식 코드DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
Papers with Code 아카이브
3D Place Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
- 21
Pointcloud-based place recognition and retrieval
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/XLechter/PCAN
공식 코드PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
https://github.com/Yan-Xia/SOE-Net
공식 코드SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
https://github.com/csiro-robotics/LoGG3D-Net
공식 코드LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition
https://github.com/cv4ra/sota-place-recognitioner
공식 코드Place Recognition: A Comprehensive Review, Current Challenges and Future Directions
https://github.com/cybonic/spvsoap3d
공식 코드https://github.com/hku-mars/std
공식 코드https://github.com/jac99/MinkLoc3D
공식 코드https://github.com/jac99/MinkLocMultimodal
공식 코드MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition
https://github.com/jac99/minkloc3dv2
공식 코드Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
https://github.com/kamilzywanowski/minkloc3d-si
공식 코드https://github.com/mikacuy/pointnetvlad
공식 코드PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/pyc5714/re-trip
공식 코드RE-TRIP : Reflectivity Instance Augmented Triangle Descriptor for 3D Place Recognition
https://github.com/raktimgg/salsa
공식 코드SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition
https://github.com/rayguan97/crossloc3d
공식 코드https://github.com/shenyanqing1105/ForestLPR-CVPR2025
공식 코드ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images
https://github.com/slothfulxtx/TransLoc3D
공식 코드TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields
https://github.com/LeegoChen/PTC-Net
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/Suoivy/LPD-net
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
https://github.com/csiro-robotics/incloud
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/csiro-robotics/uncertainty-lpr
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/fpthink/ppt-net
https://github.com/juanjo-cabrera/minkunext
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
https://github.com/qiaozhijian/LPD-Net-Pytorch
LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis
https://github.com/qiaozhijian/vLPD-Net
A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.