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语义分割+视频分割 开源代码文献集合

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admin 发表于 2018-5-2 05:34:32 | 显示全部楼层 |阅读模式
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语义分割
Global Deconvolutional Networks
BMVC 2016
https://github.com/DrSleep/GDN

半监督语义分割
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation
AAAI Conference on Artificial Intelligence (AAAI) 2018
http://mmlab.ie.cuhk.edu.hk/projects/M&M/
https://github.com/XiaohangZhan/mix-and-match/

deconvnet analysis
Salient Deconvolutional Networks ECCV2016
https://github.com/aravindhm/deconvnet_analysis

Instance Segmentation 分水岭+CNN
Deep Watershed Transform for Instance Segmentation CVPR2017
https://github.com/min2209/dwt

Instance Segmentation
End-to-End Instance Segmentation with Recurrent Attention CVPR2017
https://github.com/renmengye/rec-attend-public

基于单张训练样本的视频运动物体分割
Video Object Segmentation Without Temporal Information One-Shot Video Object Segmentation
http://www.vision.ee.ethz.ch/~cvlsegmentation/osvos/

图像语义匹配 SCNet: Learning Semantic Correspondence ICCV2017
Matlab code: https://github.com/k-han/SCNet

同时检测和分割,类似 Mask R-CNN
BlitzNet: A Real-Time Deep Network for Scene Understanding
ICCV2017 https://github.com/dvornikita/blitznet ​​​​

目标候选区域分割 FastMask: Segment Multi-scale Object Candidates in One Shot CVPR2017
https://github.com/voidrank/FastMask

语义分割 The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation CVPRW 2017
Theano/Lasagne code Implementation https://github.com/0bserver07/One-Hundred-Layers-Tiramisu

视频分割 Learning to Segment Instances in Videos with Spatial Propagation Network CVPRW2017
https://github.com/JingchunCheng/Seg-with-SPN

语义分割 Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes CVPR2017
https://github.com/TobyPDE/FRRN

语义分割: Awesome Semantic Segmentation
https://github.com/mrgloom/awesome-semantic-segmentation

语义分割代码 Semantic Segmentation Algorithms Implemented in PyTorch 这个很好!
https://github.com/meetshah1995/pytorch-semseg

语义分割 Learning Deconvolution Network for Semantic Segmentation
https://github.com/HyeonwooNoh/DeconvNet

语义分割 Fully Convolutional Instance-aware Semantic Segmentation
https://github.com/daijifeng001/TA-FCN

语义分割 Fully Convolutional Networks for Semantic Segmentation
https://github.com/shelhamer/fcn.berkeleyvision.org

语义分割 PixelNet: Representation of the pixels, by the pixels, and for the pixels
https://github.com/aayushbansal/PixelNet
http://www.cs.cmu.edu/~aayushb/pixelNet/

语义分割 ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://hszhao.github.io/projects/icnet/ https://github.com/hszhao/ICNet

语义分割 SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
https://arxiv.org/pdf/1511.00561.pdf
PAMI-2017 https://github.com/alexgkendall/caffe-segnet

语义分割 DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
https://bitbucket.org/aquariusjay/deeplab-public-ver2/overview

语义分割 DeconvNet : Learning Deconvolution Network for Semantic Segmentation ICCV2015
https://github.com/HyeonwooNoh/DeconvNet http://cvlab.postech.ac.kr/research/deconvnet/

语义分割 Pyramid Scene Parsing Network CVPR2017
https://github.com/hszhao/PSPNet

语义分割 Fully Convolutional Instance-aware Semantic Segmentation CVPR2017
https://github.com/msracver/FCIS

语义分割 ParseNet: Looking Wider to See Better
https://github.com/weiliu89/caffe/tree/fcn

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

视频结构化分析平台
https://github.com/AKSHAYUBHAT/DeepVideoAnalytics





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