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[ROBIO 2021] Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios
[TMECH 2023] Active View Planning for Visual SLAM in Outdoor Environments Based on Continuous Information Modeling
Learning Resources And Links Of Machine Learning(updating)
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
A beautiful stack trace pretty printer for C++
C++ API wrapper for displaying shapes and meshes in Rviz
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
A Robust LiDAR-Inertial Odometry for Livox LiDAR
E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
Instant neural graphics primitives: lightning fast NeRF and more
Direct voxel grid optimization for fast radiance field reconstruction.
Plenoxels: Radiance Fields without Neural Networks
A repo of awesome papers about multi target multi camera tracking
Out-of-the-box Annotation Toolbox
End-to-End Object Detection with Transformers
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation, NeurIPS 2021 Spotlight
Code for CMaskTrack R-CNN (proposed in Occluded Video Instance Segmentation)
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
[CVPR 2021] Youtube-VIS 2021 3rd place, [CVPR 2020] winner DAVIS 2020. Code for mask selection based methods.
youtubevos / MaskTrackRCNN
Forked from open-mmlab/mmdetectionMaskTrackRCNN for video instance segmentation based on mmdetection
TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)
OpenMMLab Detection Toolbox and Benchmark