点击我爱计算机视觉标星，更快获取CVML新技术
计算机视觉技术发展迅速，很多时候，可悲的不是我们没有努力，而是没有跟上时代的步伐。努力coding终于出来结果了，却发现早就有人开源了，效果还比自己写的好！
CV君汇总了最近过去的一周新出的开源代码，包括方向有目标检测、深度估计、行人重识别、实例分割、姿态估计、超分辨率、行人检测、神经架构搜索等，还有一些新出的机器学习范式如长尾识别问题。希望对大家有启发。
ps.以下列出的代码网址中，有少部分代码还未放出。
Instance Segmentation of Biological Images Using Harmonic Embeddings
Victor Kulikov, Victor Lempitsky
/abs/1904.05257v1
/kulikovv/harmonic
CVPR Oral
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
/abs/1904.05160v1
https://liuziwei7.github.io/projects/LongTail.html
SphericalRegression:LearningViewpoints,SurfaceNormalsand3DRotationsonn-Spheres
Shuai Liao, Efstratios Gavves, Cees G. M. Snoek
/abs/1904.05404v1
/leoshine/Spherical_Regression
CVPR
ExpressiveBodyCapture:3DHands,Face,andBodyfromaSingleImage
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black
/abs/1904.05866v1
https://smpl-x.is.tue.mpg.de/
TwoBodyProblem:CollaborativeVisualTaskCompletion
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi
/abs/1904.05879v1
/projects/two-body-problem
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
Chen Li, Gim Hee Lee
/abs/1904.05547v1
/chaneyddtt/Generating-Multiple-Hypotheses-for-3D-Human-Pose-Estimation-with-Mixture-Density-Network
Generalizing Monocular 3D Human Pose Estimation in the Wild
Luyang Wang, Yan Chen, Zhenhua Guo, Keyuan Qian, Mude Lin, Hongsheng Li, Jimmy S. Ren
/abs/1904.05512
/llcshappy/Monocular-3D-Human-Pose
CVPR
ReliableandEfficientImageCropping:AGridAnchorbasedApproach
Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang
/abs/1904.04441v1
/HuiZeng/Grid-Anchor-based-Image-Cropping
High-Resolution Representations for Labeling Pixels and Regions
Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang
/abs/1904.04514v1
/HRNet
Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes
James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou
/abs/1904.04772v1
/james-oldfield/adv-attribute-disentanglement
Adaptive Morphological Reconstruction for Seeded Image Segmentation
Tao Lei, Xiaohong Jia, Tongliang Liu, Shigang Liu, Hongying Meng, Asoke K. Nandi
/abs/1904.03973v1
/SUST-reynole/AMR
CVPR
Learning monocular depth estimation infusing traditional stereo knowledge
Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
/abs/1904.04144v1
/fabiotosi92/monoResMatch-Tensorflow
CVPR
Adaptively Connected Neural Networks
Guangrun Wang, Keze Wang, Liang Lin
/abs/1904.03579
/wanggrun/Adaptively-Connected-Neural-Networks
WeaklySupervisedPersonRe-identification:Cost-effectiveLearningwithANewBenchmark
Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin
/abs/1904.03845v1
/wanggrun/SYSU-30k
CVPR
Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
Jiangliu Wang, Jianbo Jiao, Linchao Bao, Shengfeng He, Yunhui Liu, Wei Liu
/abs/1904.03597v1
/laura-wang/video_repres_mas
Stokes Inversion based on Convolutional Neural Networks
A. Asensio Ramos , C. Diaz Baso
/abs/1904.03714v1
/aasensio/sicon
CVPR
Camera Lens Super-Resolution
Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
/abs/1904.03378v1
/ngchc/CameraSR
When AWGN-based Denoiser Meets Real Noises
Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas Huang
/abs/1904.03485v1
/yzhouas/PD-Denoising-pytorch
DoodletoSearch:PracticalZero-ShotSketch-basedImageRetrieval
Sounak Dey, Pau Riba, Anjan Dutta, Josep Llados, Yi-Zhe Song
/abs/1904.03451v1
https://sounakdey.github.io/doodle2search.github.io/
Instance-Level Meta Normalization
Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen
/abs/1904.03516v1
/Gasoonjia/ILM-Norm
The EntOptLayout Cytoscape plug-in for the efficient visualization of major protein complexes in protein-protein interaction and signalling networks
Bence Agg, Andrea Csaszar, Mate Szalay-Beko, Daniel V. Veres, Reka Mizsei, Peter Ferdinandy, Peter Csermely, Istvan A. Kovacs
/abs/1904.03910v1
/apps/entoptlayout
CanGCNsGoasDeepasCNNs?
Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem
/abs/1904.03751v1
/view/deep-gcns
LP-3DCNN:UnveilingLocalPhasein3DConvolutionalNeuralNetworks
Sudhakar Kumawat, Shanmuganathan Raman
/abs/1904.03498v1
/view/lp-3dcnn/home
BranchedMulti-TaskNetworks:DecidingWhatLayersToShare
Simon Vandenhende, Bert De Brabandere, Luc Van Gool
/abs/1904.02920v1
/SimonVandenhende/
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization
Tsun-Hsuan Wang, Hou-Ning Hu, Chieh Hubert Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun
/abs/1904.02917v1
https://zswang666.github.io/Stereo-LiDAR-CCVNorm-Project-Page/
/zswang666/Stereo-LiDAR-CCVNorm
CVPR
High-levelSemanticFeatureDetection:ANewPerspectiveforPedestrianDetection
Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu
/abs/1904.02948v1
/liuwei16/CSP
Single-PathNAS:DesigningHardware-EfficientConvNetsinlessthan4Hours
Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu
/abs/1904.02877v1
/dstamoulis/single-path-nas
Point-to-Point Video Generation
Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun
/abs/1904.02912v1
https://zswang666.github.io/P2PVG-Project-Page/
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CV Code | 本周新出计算机视觉开源代码汇总（含实例分割 行人检测 姿态估计 神经架构搜索 超分辨率等）...
