Zauberr

mmdetection

OpenMMLab Detection Toolbox and Benchmark

paper-reading

深度学习经典、新论文逐段精读

apollo

An open autonomous driving platform

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmtracking

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.

LeetCode

:pencil2: LeetCode solutions in C++ 11 and Python3

BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Deformable-DETR

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

javdb

javdb official app

nuscenes-devkit

The devkit of the nuScenes dataset.

modAL

A modular active learning framework for Python

detrex

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

QA-Survey-CN

北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

CenterNet2

Two-stage CenterNet

MapTR

[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

kitti_object_vis

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

SUSTechPOINTS

3D Point Cloud Annotation Platform for Autonomous Driving

awesome-active-learning

Everything you need about Active Learning (AL).

MOTR

[ECCV2022] MOTR: End-to-End Multiple-Object Tracking with TRansformer

StreamPETR

[ICCV 2023] StreamPETR: Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

GTR

Global Tracking Transformers, CVPR 2022

MonoDETR

[ICCV 2023] The first DETR model for monocular 3D object detection with depth-guided transformer

once_devkit

51cg1

Config files for my GitHub profile.

cocojson

Utility scripts for COCO json annotation format

KITTI-utils

Utility functions for loading images from the KITTI dataset, plotting 2D and 3D bounding box and evaluating outputs according to the KITTI dataset metrics

PaperReadings

包括机器学习、深度学习、计算机视觉等领域前沿论文的解读。

kitti2coco

convert kitti 2D object detection dataset to coco format