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

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

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.

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

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

State-of-the-art methods for human trajectory forecasting. Contains code for papers published at ECCV 2020 and ICCV 2021.

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.

PyTorch code for the paper "FIERY: Future Instance Segmentation in Bird's-Eye view from Surround Monocular Cameras"

A multi-entity Transformer for multi-agent spatiotemporal modeling.

[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting

L5Kit - https://woven.toyota

A selection of state-of-the-art research materials on trajectory prediction

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (…

[ECCV 2020] Code for "Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction"

Code for "Transformer Networks for Trajectory Forecasting"

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric

SWA Object Detection

PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection

Official code of the paper "Align Deep Features for Oriented Object Detection"

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

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

The official PyTorch implementation of CVPR 2020 paper "Improving Convolutional Networks with Self-Calibrated Convolutions"

🔗 Some useful websites for programmers.

Two-stage CenterNet

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.