haohao11

QCNet

[CVPR 2023] Query-Centric Trajectory Prediction

3D-Box-Segment-Anything

We extend Segment Anything to 3D perception by combining it with VoxelNeXt.

aot-benchmark

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

Collaborative_Perception

This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

ConditionalDETR

This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)

DAB-DETR

[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"

DeepAccident

Code for the benchmark - DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving.

Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

DriveLM

DriveLM: Driving with Graph Visual Question Answering

FastSAM

Fast Segment Anything

futr3d

Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection

GevBEV

GPCIS_CVPR2023

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

H-Deformable-DETR

[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".

l5kit

L5Kit - https://woven.toyota

LAformer

Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"

MaskDINO

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

mile

PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

MobileSAM

This is the offiicial code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight

PF-Track

Implementation of PF-Track

Segment-and-Track-Anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

simple_bev

A Simple Baseline for BEV Perception

Sparse4D

Sparse4D v1 & v2

UniAD

[CVPR 2023 Award Candidate] Planning-oriented Autonomous Driving

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Video-Swin-Transformer

This is an official implementation for "Video Swin Transformers".

Vim

Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

ViP3D

VoxelNeXt

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)