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Official repo for our ECCV'24 paper: Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene.
(TPAMI 2024) A Survey on Open Vocabulary Learning
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Commonsense Prototype for Outdoor Unsupervised 3D Object Detection (CVPR 2024)
This repository is an open-source PointPainting package which is easy to understand, deploy and run!
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
A new framework for open-vocabulary object detection, based on maskrcnn-benchmark
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
[IEEE T-IV] This is the official implementation of Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
[SCIS] SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
A curated list of foundation models for vision and language tasks
End to End Autopilot Perception Playbook
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页：http://111.229.117.200:8100/ (作者独立搭建)
This repository is for CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection.
This repository contains the PyTorch implementation of the ECCV'2022 paper, ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection.
[ICCV 2023] GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds
[CVPR 2023] Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
This repo provides the source code for "Cross-Domain Adaptive Teacher for Object Detection".
Thie repo provides the official implementation of our AAAI-2023 paper “SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud”.
[ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
One Million Scenes for Autonomous Driving
A tool converting Waymo dataset format to Kitti dataset format.
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving, CVPR 2023
Papers and Datasets about Point Cloud.