飞书机器人，每日定时发送测试团队缺陷情况

Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).

Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"

Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"

The devkit of the nuScenes dataset.

[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496

An official implementation of "HVPR: Hybrid Voxel-Point Representation for Single-stage 3D Object Detection" (CVPR 2021) in PyTorch.

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

Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)

Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.

[CVPR2021] Pytorch implementation of Depth-conditioned Dynamic Message Propagation forMonocular 3D Object Detection.

A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection" CVPR 2020

[ICML2021] What Makes for End-to-End Object Detection

Object detection, 3D detection, and pose estimation using center point detection:

[CVPR 2021] Instance Localization for Self-supervised Detection Pretraining

This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

AI 俄罗斯方块（C++）

Waymo Open Dataset

Multi Task Vision and Language

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

Official implementation of our CVPR2021 paper "OTA: Optimal Transport Assignment for Object Detection" in Pytorch.

Several simple examples for popular neural network toolkits calling custom CUDA operators.