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cuda-pointpillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

cv-backbones

CV backbones including GhostNet, TinyNet and TNT.

cvpr2020-code

CVPR 2020 论文开源项目合集

cvpr2021-paper-code-interpretation

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

daformer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

daily-interview

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

datagenerator

deep3dfacereconstruction

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019)

deep_object_pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

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

deformable-convnets

Deformable Convolutional Networks

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

detr

End-to-End Object Detection with Transformers

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dope-ros-d435

Object 6DoF Pose Estimation for Assembly Robots Trained on Synthetic Data - ROS Kinetic/Melodic Using Intel® RealSense D435

easypointpillars

easy and simple way to train, export and deploy pointpillars for 3D detection

efficientnet-pytorch

A PyTorch implementation of EfficientNet

fastai

The fastai deep learning library, plus lessons and tutorials

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

feature-engineering-for-ml-zh

:book: [译] 面向机器学习的特征工程

ffb6d

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

googleaiopenimg2018

Codes for the challenge of google ai open image

green

grnet

Implementation of "GRNet: Gridding Residual Network for Dense Point Cloud Completion" (Xie et al., ECCV 2020).

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

interview-notes

包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识