yoichiro0406 / cascading_feature_extractionView external linksLinks
Cascading Feature Extraction for Fast Point Cloud Registration (BMVC 2021)
☆17Dec 29, 2021Updated 4 years ago
Alternatives and similar repositories for cascading_feature_extraction
Users that are interested in cascading_feature_extraction are comparing it to the libraries listed below
Sorting:
- [TVCG 2021] Consistent Two-Flow Network for Tele-Registration of Point Clouds☆11Aug 9, 2021Updated 4 years ago
- Registration-aided 3D Point Cloud Learning for Large-Scale Place Recognition (IROS 2021)☆11May 28, 2022Updated 3 years ago
- DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration (AAAI2022)☆27May 21, 2022Updated 3 years ago
- [BMVC 2022 workshop] Greedy Grid Search: A 3D Registration Baseline☆17Jan 16, 2025Updated last year
- DVL_SLAM_ROS☆50Feb 7, 2022Updated 4 years ago
- ☆24Mar 14, 2023Updated 2 years ago
- SC^2-PCR++: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (TPAMI)☆66Dec 21, 2023Updated 2 years ago
- StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation (ICCV 2021)☆26Jun 12, 2023Updated 2 years ago
- ☆27Jun 27, 2023Updated 2 years ago
- Leveraging Inlier Correspondences Proportion for Point Cloud Registration. https://arxiv.org/abs/2201.12094.☆113Apr 2, 2023Updated 2 years ago
- This is the official MegEngine implementation of FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration…☆29Sep 17, 2022Updated 3 years ago
- Tool for creating optimally sized databases (containing the minimum number of frames covering the scene) for place recognition task from …☆27Jul 26, 2023Updated 2 years ago
- [NeurIPS 2022] Non-rigid Point Cloud Registration with Neural Deformation Pyramid☆214Jan 1, 2025Updated last year
- ☆34Mar 22, 2023Updated 2 years ago
- [AAAI 2022] FINet: Dual Branches Feature Interaction for Partial-to-Partial Point Cloud Registration, Pytorch implementation.☆31Apr 9, 2024Updated last year
- ☆31Mar 14, 2020Updated 5 years ago
- The codes for CVPR2021 Oral paper 'SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition'☆42May 17, 2021Updated 4 years ago
- Implementation for the paper: STUN: Self-Teaching Uncertainty Estimation for Place Recognition☆33Mar 20, 2023Updated 2 years ago
- ☆36Aug 25, 2024Updated last year
- ☆45Mar 22, 2024Updated last year
- This repository is show how to calibrate camera and lidar, inlude camera intrinsics、camera and lidar`s extrinsics☆10Nov 28, 2021Updated 4 years ago
- [ICCV 2021] OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration, Pytorch implementation.☆39Jun 8, 2023Updated 2 years ago
- OpenVLA for AIRBOT☆14Aug 15, 2024Updated last year
- ☆13Feb 26, 2025Updated 11 months ago
- ☆47Jul 17, 2025Updated 6 months ago
- ☆48Mar 1, 2022Updated 3 years ago
- [ICRA'24] Official implementation of "A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimati…☆46Feb 12, 2025Updated last year
- (AAAI 2023) RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments☆45Nov 27, 2023Updated 2 years ago
- CLEAR algorithm for multi-view data association☆36Oct 15, 2020Updated 5 years ago
- A repo collating papers and other material related to neural radiance fields (NeRFs), neural scene representations and associated works w…☆13Jul 24, 2023Updated 2 years ago
- ☆15May 17, 2023Updated 2 years ago
- ☆11Oct 20, 2023Updated 2 years ago
- Overlap-guided Gaussian Mixture Models for Point Cloud Registration☆45Feb 29, 2024Updated last year
- 3D Scene Annotation and Dataset Toolkit☆10Jun 11, 2023Updated 2 years ago
- My take on ECLIPSE solar nowcasting DL paper☆14Oct 29, 2021Updated 4 years ago
- hog-man from OpenSLAM.org☆10May 15, 2018Updated 7 years ago
- This repository is a version of https://github.com/dimatura/pypcd for Python 3☆12Jun 26, 2020Updated 5 years ago
- A terminal plotter for tensorboard and csv☆10Jul 20, 2024Updated last year
- ☆11Oct 20, 2023Updated 2 years ago