excitohe

bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

DepthFormer

Offical Implement of DepthFormer

up-detr

[TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

LVT

Lite Vision Transformer (CVPR 2022)

awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

MonoEX

AutoSDF

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

cross-view

[CVPR'21] Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation

HomographyLoss

Pytorch code of Paper 'Homography Loss for Monocular 3D Object Detection'

MonoDTR

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer (CVPR 2022)

MonoDETR

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

MegBA

MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

Pseudo-Stereo-3D

MonoCon

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)

MonoDistill

yolox-pytorch

a Pytorch easy re-implement of "YOLOX: Exceeding YOLO Series in 2021"

ST3D

(CVPR 2021 & T-PAMI 2022) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection & ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection

mlcnet

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

AttentivePrototypeSFUDA

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

BtcDet

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

ATVGnet

CVPR 2019

sgm3d

[RA-L 2022] SGM3D: Stereo Guided Monocular 3D Object Detection

MonoDet

[ICCV21 & WACV23] Monocular 3D Object Detection for Automonous Driving

LiDAR_RCNN

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

Pseudo-LiDAR-End-to-End

Pseudo-LiDAR End to End is a 3D object detector which can directly generate accurate 3D bounding box from binocular camera images in a end-to-end method. (Not the version in Kitti leaderboard)

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

WS3D

Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)

simple_kitti_visualization

simple visualization scripts for Kitti and Semantic Kitti dataset

DeepLineEncoding

Deep Line Encoding for Monocular 3D Object Detection and Depth Prediction