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3d-bounding-box-estimation-for-autonomous-driving

3d bounding box estimation from monocular image based on 2d bounding box

3d-detection-tracking-viewer

3D detection and tracking viewer for kitti & waymo dataset

3d-object-detection

Papers and code related to 3D object detection

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

alpha-iou

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

asff

yolov3 with mobilenet v2 and ASFF

atss

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, 2020

automl

Google Brain AutoML

autoshape

ICCV2021 Paper: AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

bevdet-tensorrt-cpp

BEVDet implemented by TensorRT, C++； Achieving real-time performance on Orin

carla

Open-source simulator for autonomous driving research.

centernet-objects-as-points-

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

centernet-torch1.0

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

ciou

Complete-IoU (CIoU) Loss and Cluster-NMS for Object Detection and Instance Segmentation (YOLACT)

complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

condconv-pytorch

Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

condconv.pytorch

PyTorch implementation of CondConv and MobileNetV2 model

cornernet

cornernet-lite

cvpr2020-code

CVPR 2020 论文开源项目合集

d4lcn

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

darknet-yolov4

Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

det3d

A general 3D object detection codebse.

detr

End-to-End Object Detection with Transformers

dimensionality_reduction_alo_codes

PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

diou-darknet

Distance-IoU Loss into YOLO v3

dla

Code for the CVPR Paper "Deep Layer Aggregation"