作者：O天涯海阁O
来源：CSDN
原文：https://blog.csdn.net/zhangjunhit/article/details/53261053
版权声明：本文为博主原创文章，转载请附上博文链接！
OCR 资源汇总
字符区域检测：https://github.com/eragonruan/text-detection-ctpn
区域字符识别：https://github.com/meijieru/crnn.pytorch
https://github.com/bgshih/crnn
Practical Deep OCR for scene text using CTPN + CRNN
https://github.com/AKSHAYUBHAT/DeepVideoAnalytics/tree/master/docs/experiments/ocr
https://github.com/xiaofengShi/CHINESE-OCR
https://github.com/ZumingHuang/awesome-ocr-resources
https://blog.csdn.net/yeler082/article/details/80876778
车道检测相关资源列表
https://github.com/amusi/awesome-lane-detection
目标检测开源代码汇总
跟踪算法开源代码汇总
人脸检测识别代码汇总
人群分析、人群计数 开源代码文献及数据库
语义分割+视频分割 开源代码文献集合
网络优化加速开源代码汇总
计算机视觉&深度学习相关资源汇总
https://joshua19881228.github.io/2016-08-25-my-jumble-of-computer-vision/
https://github.com/number9473/nn-algorithm/labels
https://handong1587.github.io/categories.html#deep_learning-ref
https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
图像增强
Deep Bilateral Learning for Real-Time Image Enhancement
https://groups.csail.mit.edu/graphics/hdrnet/
https://github.com/mgharbi/hdrnet
CNN 图像增强
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
http://people.ee.ethz.ch/~ihnatova/
https://github.com/aiff22/DPED
人体姿态估计
Stacked Hourglass Networks for Human Pose Estimation ECCV2016
http://www-personal.umich.edu/~alnewell/pose/
无人机数车
Drone-based Object Counting by Spatially Regularized Regional Proposal Networks ICCV2017
数据库 https://lafi.github.io/LPN/
行人属性分析 + 行人检索
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis ICCV2017
GitHub: https://github.com/xh-liu/HydraPlus-Net
行人检索
Re-ranking Person Re-identification with k-reciprocal Encoding CVPR2017
https://github.com/zhunzhong07/person-re-ranking
行人检索
Pedestrian Alignment Network for Large-scale Person Re-identification
https://github.com/layumi/Pedestrian_Alignment
行人检索
SVDNet for Pedestrian Retrieval
https://github.com/syfafterzy/SVDNet-for-Pedestrian-Retrieval
行人检索
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro ICCV2017
https://github.com/layumi/Person-reID_GAN
动作识别
Temporal Action Detection with Structured Segment Networks ICCV2017
https://github.com/yjxiong/action-detection
动作识别
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition ECCV2016
https://github.com/yjxiong/temporal-segment-networks
动作识别
Towards Good Practices for Very Deep Two-stream ConvNets
http://yjxiong.me/others/action_recog/
https://github.com/yjxiong/caffe
基于单张RGB图像的 3D 人体姿态估计
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image CVPR2017
http://www0.cs.ucl.ac.uk/staff/D.Tome/papers/LiftingFromTheDeep.html
https://github.com/DenisTome/Lifting-from-the-Deep-release
显著性检测
Shallow and Deep Convolutional Networks for Saliency Prediction CVPR2016
https://github.com/imatge-upc/saliency-2016-cvpr
显著性检测
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
https://imatge-upc.github.io/saliency-salgan-2017/
视频插帧
Video Frame Interpolation via Adaptive Separable Convolution ICCV2017
https://github.com/sniklaus/pytorch-sepconv
Pytorch 学习教程
Quick 3~4 day lecture meterials for HKUST students.
https://github.com/hunkim/PyTorchZeroToAll
一个网络完成三个任务：Denoising, Relighting, Colorization
Generalized Deep Image to Image Regression
https://venkai.github.io/RBDN/
https://github.com/venkai/RBDN
视频中的时空特征
Learning Spatiotemporal Features with 3D Convolutional Networks ICCV 2015
http://vlg.cs.dartmouth.edu/c3d/
https://github.com/facebook/C3D
运动相机检测无人机 小目标
Flying Object Detection from a Single Moving Camera PAMI2017
http://cvlab.epfl.ch/research/unmanned/detection
https://drive.switch.ch/index.php/s/3b3bdbd6f8fb61e05d8b0560667ea992
卫星图像车辆分析
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
https://gdo-datasci.ucllnl.org/cowc/
视频合成
Generating Videos with Scene Dynamics NIPS2016
http://carlvondrick.com/tinyvideo/
Torch7 https://github.com/cvondrick/videogan
视频预测
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
https://coxlab.github.io/prednet/
Keras https://github.com/coxlab/prednet
视频预测
Flexible Spatio-Temporal Networks for Video Prediction CVPR2017
视频中的运动模式学习
Learning Motion Patterns in Videos CVPR2017
http://thoth.inrialpes.fr/research/mpnet
特征匹配
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence CVPR2017
c++ code: https://github.com/JiawangBian/GMS-Feature-Matcher
基于语义的视频快进，不丢失感兴趣物体的快进
Fast-Forward Video Based on Semantic Extraction
GitHub: https://github.com/verlab/SemanticFastForward_ICIP_2016
深度边缘检测
Richer Convolutional Features for Edge Detection CVPR2017
https://github.com/yun-liu/rcf
视频目标检测 跟踪
Detect to Track and Track to Detect ICCV2017
https://github.com/feichtenhofer/detect-track
pytorch tutorial
https://github.com/soravux/pytorch_tutorial
新的池化方法
S3Pool: Pooling with Stochastic Spatial Sampling CVPR2017
https://github.com/Shuangfei/s3pool
CNN 图像检索
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations CVPR2017
https://github.com/ahmetius/diffusion-retrieval
基于查表的CNN网络模型
LCNN: Lookup-based Convolutional Neural Network CVPR2017
https://github.com/hessamb/lcnn
Torch https://github.com/juefeix/lbcnn.torch
数据扩张 Image Augmentation tool
Augmentor: An Image Augmentation Library for Machine Learning
GitHub: https://github.com/mdbloice/Augmentor
SCNet: Learning Semantic Correspondence ICCV2017
Matlab code: https://github.com/k-han/SCNet
深度网络模型：
Deep Residual Learning for Image Recognition
https://github.com/KaimingHe/deep-residual-networks
Network Dissection:
Quantifying Interpretability of Deep Visual Representations
CVPR2017
https://github.com/CSAILVision/NetDissect
人体姿态估计：
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields CVPR2017
https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
Convolutional Pose Machines CVPR2016
https://github.com/shihenw/convolutional-pose-machines-release
深度图片风格迁移
Deep Photo Style Transfer
https://github.com/luanfujun/deep-photo-styletransfer
人脸修复
Generative Face Completion
https://github.com/Yijunmaverick/GenerativeFaceCompletion
Failures of Gradient-Based Deep Learning
https://github.com/shakedshammah/failures_of_DL
深度视频去模糊
Deep Video Deblurring
https://github.com/shuochsu/DeepVideoDeblurring
深度去噪
Learning Deep CNN Denoiser Prior for Image Restoration
https://github.com/cszn/ircnn
人脸超分辨
Face Super-Resolution Through Wasserstein GANs
https://github.com/MandyZChen/srez
https://github.com/YuguangTong/improved_wgan_training