destinyls's repositories
acad-homepage.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
Awesome-Monocular-3D-detection
Awesome Monocular 3D detection
Awesome-Occupancy-Network
Awesome papers and codebases about Occupancy Network in Tesla AI Day 2022
Awesome-Occupancy-Prediction-Multi-Cameras
Awesome papers about Multi-Camera Occupancy Prediction, such as Tesla's occupancy network
BEVDepth
Official code for BEVDepth.
BEVDet
Official code base of the BEVDet series .
BEVFormer
[ECCV2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
BEVHeight
An official code release of our CVPR'23 paper, BEVHeight
Collaborative_Perception
This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
GraphRCNN
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph (ECCV 2022, Oral) :fire:
Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
GUPNet-RSU
A real-time monocular 3D object detector for RSU
Lite-FPN
This is the official implementation of our manuscript "Lite-FPN for Keypoint-based Monocular 3D Object Detection"
mmcv
OpenMMLab Computer Vision Foundation
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
MonoEF
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
OpenCOOD
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
pypcd
PCL pcd fileformat i/o in Python
RobustDet
The official PyTorch implementation of "Adversarially-Aware Robust Object Detector"
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
SimSiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566