Eaphan/NCLR
Self-supervised Learning of LiDAR 3D PointClouds via 2D-3D Neural Calibration [TPAMI2025]
Self-supervised Learning of LiDAR 3D PointClouds via 2D-3D Neural Calibration [TPAMI2025]
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models (NeurIPS2024)
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Yifan Zhang's homepage
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection [NeurIPS2023]
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Code for "Is Contrastive Distillation Enough for Learning Comprehensive 3D Representations?"
nsfc - 国家自然科学基金项目LaTeX模版(面青地)
Code for "Unsupervised Online 3D Instance Segmentation with Synthetic Sequences and Dynamic Loss"
😎 up-to-date & curated list of awesome 3D Visual Grounding papers, methods & resources.
Code for "Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection" (TPAMI2024)
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving (CVPR 2024)
Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"
国家自然科学基金申请书正文(面上项目)LaTeX 模板(非官方)
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation
An Efficient, Flexible, and General deep learning framework that retains minimal.
spring为基础框架搭建的心狗云平台
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)
SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection
OpenMMLab's next-generation platform for general 3D object detection.
A curated list of resources for Learning with Noisy Labels
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
nms, nms_3d, roi_align, roi_align_3d, 3d ops, pytorch
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version