ICCV 2019 将于2019/10/27-2019/11/2在韩国首尔的 COEX 会议中心举行，本次ICCV 收到了创纪录的4303份提交（比ICCV 2017年增加了100％），并接受了1077篇论文，接受率为25％。详情可以看ICCV2019官网：http://iccv2019.thecvf.com/
AI研习社将会给大家持续整理 ICCV 2019 论文实现代码系列集合，方便大家学习！（如有不正确之处，还请私信告知，感谢！）
Oral论文系列
12.One Shot Domain Adaptation for Person Re-Identification
【作者】Yang Fu, Yunchao Wei, Guanshuo Wang, Jiwei Li, Xi Zhou, Honghui Shi, Thomas Huang
【论文地址】https://arxiv.org/abs/1811.10144
【GitHub地址】https://github.com/OasisYang/SSG
11…Learning Trajectory Dependencies for Human Motion Prediction
【作者】Wei Mao, Miaomiao Liu, Mathieu Salzmann, Hongdong Li
【论文地址】https://arxiv.org/abs/1908.05436
【GitHub地址】https://github.com/wei-mao-2019/LearnTrajDep
10.PR Product: A Substitute for Inner Product in Neural Networks
【作者】Zhennan Wang, Wenbin Zou, Chen Xu
【论文地址】https://arxiv.org/abs/1904.13148
【GitHub地址】https://github.com/wzn0828/PR_Product
9.Photo-Realistic Facial Details Synthesis from Single Image
【作者】Anpei Chen*, Zhang Chen*, Guli Zhang, Ziheng Zhang, Kenny Mitchell, Jingyi Yu
【论文地址】https://arxiv.org/abs/1903.10873
【GitHub地址】 https://github.com/apchenstu/Facial_Details_Synthesis
8.Point-based Multi-view Stereo Network
【作者】Rui Chen, Songfang Han, Jing Xu, Hao Su
【论文地址】https://arxiv.org/abs/1908.04422
【GitHub地址】https://github.com/Wanggcong/Spatial-Temporal-Re-identification
7.Equivariant Multi-View Networks
【作者】Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, Kostas Daniilidis
【论文链接】https://arxiv.org/abs/1904.00993
【Github链接】https://github.com/daniilidis-group/emvn
6.Expectation-Maximization Attention Networks for Semantic Segmentation
【作者】Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu
【论文链接】https://arxiv.org/abs/1907.13426
【Github链接】https://github.com/XiaLiPKU/EMANet
5.Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
【作者】Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Woo, Ruxin Chen, Jian Zheng
【论文链接】https://arxiv.org/abs/1907.12743
【Github链接】https://github.com/cmhungsteve/TA3N
4.Meta-Sim Learning to Generate Synthetic Datasets
【作者】Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
【论文链接】https://arxiv.org/abs/1904.11621
【项目链接】https://nv-tlabs.github.io/meta-sim/
3.Can GCNs Go as Deep as CNNs?
【作者】Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem
【论文链接】https://arxiv.org/abs/1904.03751
【Github链接】https://github.com/lightaime/deep_gcns
2.COCO-GAN: Generation by Parts via Conditional Coordinating
【作者】Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen
【论文链接】https://arxiv.org/abs/1904.00284
【Github链接】https://github.com/hubert0527/COCO-GAN
【项目链接】https://hubert0527.github.io/COCO-GAN/
1.Learnable Triangulation of Human Pose
【作者】Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov
【论文链接】https://arxiv.org/abs/1905.05754
【Github链接】https://github.com/karfly/learnable-triangulation-pytorch
【项目链接】https://saic-violet.github.io/learnable-triangulation/
更多论文
64.CompenNet++: End-to-end Full Projector Compensation
【作者】Bingyao Huang, Haibin Ling
【论文地址】https://arxiv.org/abs/1908.06246
【GitHub地址】https://github.com/BingyaoHuang/CompenNet-plusplus
63.Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data
【作者】Xiaowei Hu, Yitong Jiang, Chi-Wing Fu, Pheng-Ann Heng
【论文地址】https://arxiv.org/abs/1903.10683
【GitHub地址】https://github.com/xw-hu/Mask-ShadowGAN
62.Bidirectional One-Shot Unsupervised Domain Mapping
【作者】Tomer Cohen, Lior Wolf
【论文地址】https://arxiv.org/abs/1909.01595
【GitHub地址】https://github.com/tomercohen11/BiOST
61.Cross-X learning for Fine-Grained Visual Categorization
【作者】Wei Luo, Xitong Yang, Xianjie Mo, Yuheng Lu, Larry S. Davis, Jun Li, Jian Yang, Ser-Nam Lim
【论文地址】https://arxiv.org/abs/1909.04412
【GitHub地址】https://github.com/cswluo/CrossX
60.MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation
【作者】Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi
【论文地址】https://arxiv.org/abs/1906.06059
【GitHub地址】https://github.com/vita-epfl/monoloco
59.TSM: Temporal Shift Module for Efficient Video Understanding
【作者】Ji Lin, Chuang Gan, Song Han
【论文地址】https://arxiv.org/abs/1811.08383
【GitHub地址】https://github.com/mit-han-lab/temporal-shift-module
58.Universally Slimmable Networks and Improved Training Techniques
【作者】Jiahui Yu, Thomas Huang
【论文地址】https://arxiv.org/abs/1903.05134
【GitHub地址】https://github.com/JiahuiYu/slimmable_networks
57.CCNet: Criss-Cross Attention for Semantic Segmentation
【作者】Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, Wenyu Liu
【论文地址】https://arxiv.org/abs/1811.11721
【GitHub地址】https://github.com/speedinghzl/CCNet
56.Learning Lightweight Lane Detection CNNs by Self Attention Distillation
【作者】Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy
【论文地址】https://arxiv.org/abs/1908.00821
【GitHub地址】https://github.com/cardwing/Codes-for-Lane-Detection
55.Probabilistic Face Embeddings
【作者】Yichun Shi, Anil K. Jain
【论文地址】https://arxiv.org/abs/1904.09658
【GitHub地址】https://github.com/seasonSH/Probabilistic-Face-Embeddings
54.Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings
【作者】Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein
【论文地址】https://arxiv.org/abs/1908.02735
【GitHub地址】https://github.com/pierre-jacob/ICCV2019-Horde
53.Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images
【作者】Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang
【论文地址】https://arxiv.org/abs/1901.11153
【GitHub地址】https://github.com/hzxie/Pix2Vox
52.Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model
【作者】Jianrui Cai1,∗, Hui Zeng1,∗, Hongwei Yong1,3, Zisheng Cao2, Lei Zhang1,3,
【论文地址】https://csjcai.github.io/papers/RealSR.pdf
【GitHub地址】https://github.com/csjcai/RealSR
51.ABD-Net: Attentive but Diverse Person Re-Identification
【作者】Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang
【论文地址】https://arxiv.org/abs/1908.01114
【GitHub地址】https://github.com/TAMU-VITA/ABD-Net
50.A Closed-form Solution to Universal Style Transfer
【作者】Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang
【论文地址】https://arxiv.org/abs/1906.00668
【GitHub地址】https://github.com/lu-m13/OptimalStyleTransfer
49.Photo-Realistic Monocular Gaze Redirection Using Generative Adversarial Networks
【作者】Zhe He, Adrian Spurr, Xucong Zhang, Otmar Hilliges
【论文地址】https://arxiv.org/abs/1903.12530
【GitHub地址】https://github.com/HzDmS/gaze_redirection
48.Language-Conditioned Graph Networks for Relational Reasoning
【作者】Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko
【论文地址】https://arxiv.org/abs/1905.04405
【GitHub地址】https://github.com/ronghanghu/lcgn
47.Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
【作者】Giorgos Bouritsas, Sergiy Bokhnyak, Stylianos Ploumpis, Michael Bronstein, Stefanos Zafeiriou
【论文地址】https://arxiv.org/abs/1905.02876
【GitHub地址】https://github.com/gbouritsas/Neural3DMM
46.Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection
【作者】Xuanyi Dong, Yi Yang
【论文地址】https://arxiv.org/abs/1908.02116
【GitHub地址】https://github.com/D-X-Y/landmark-detection
45.Towards High-Resolution Salient Object Detection
【作者】Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu
【论文地址】https://arxiv.org/abs/1908.07274
【GitHub地址】https://github.com/yi94code/HRSOD
44.From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
【作者】Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen
【论文地址】https://arxiv.org/abs/1908.06473
【GitHub地址】https://github.com/xhp-hust-2018-2011/S-DCNet
43.Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
【作者】Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
【论文地址】https://arxiv.org/abs/1903.12648
【GitHub地址】https://github.com/kibok90/iccv2019-inc
42.SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects
【作者】Xue Yang, Jirui Yang, Junchi Yan, Yue Zhang, Tengfei Zhang, Zhi Guo, Sun Xian, Kun Fu
【论文地址】https://arxiv.org/abs/1811.07126
【GitHub地址】https://github.com/DetectionTeamUCAS
41.Confidence Regularized Self-Training
【作者】Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang
【论文地址】https://arxiv.org/abs/1908.09822
【GitHub地址】https://github.com/yzou2/CRST
40.Learning Filter Basis for Convolutional Neural Network Compression
【作者】Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte
【论文地址】https://arxiv.org/abs/1908.08932
【GitHub地址】https://github.com/ofsoundof/learning_filter_basis
39.EGNet:Edge Guidance Network for Salient Object Detection
【作者】Jia-Xing Zhao, Jiangjiang Liu, Den-Ping Fan, Yang Cao, Jufeng Yang, Ming-Ming Cheng
【论文地址】https://arxiv.org/abs/1908.08297
【GitHub地址】https://github.com/JXingZhao/EGNet
38.Asymmetric Non-local Neural Networks for Semantic Segmentation
【作者】Zhen Zhu, Mengde Xu, Song Bai, Tengteng Huang, Xiang Bai
【论文地址】https://arxiv.org/abs/1908.07678
【GitHub地址】https://github.com/MendelXu/ANN
37.Mixed High-Order Attention Network for Person Re-Identification
【作者】Binghui Chen, Weihong Deng, Jiani Hu
【论文地址】https://arxiv.org/abs/1908.05819
【GitHub地址】https://github.com/chenbinghui1/MHN
36.Controllable Artistic Text Style Transfer via Shape-Matching GAN
【作者】Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo
【论文地址】https://arxiv.org/abs/1905.01354
【GitHub地址】https://github.com/THUDM/ProNE
35.3D-RPN: Monocular 3D Region Proposal Network for Object Detection
【作者】Garrick Brazil, Xiaoming Liu
【论文地址】https://arxiv.org/abs/1907.06038
【GitHub地址】https://github.com/garrickbrazil/M3D-RPN
34.Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
【作者】Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas Huang
【论文地址】https://arxiv.org/abs/1811.10144
【GitHub地址】https://github.com/OasisYang/SSG
33.SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
【作者】Kaiyu Yang, Olga Russakovsky, Jia Deng
【论文地址】https://arxiv.org/abs/1908.02660
【GitHub地址】https://github.com/princeton-vl/SpatialSense
32.HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
【作者】Duo Li, Aojun Zhou, Anbang Yao
【论文地址】https://arxiv.org/abs/1908.03888
【GitHub地址】https://github.com/d-li14/HBONet
31.Few-Shot Unsupervised Image-to-Image Translation
【作者】Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
【论文链接】https://arxiv.org/abs/1905.01723
【GitHub地址】https://github.com/taki0112/FUNIT-Tensorflow
30.nocaps: novel object captioning at scale
【作者】Harsh Agrawal, Karan Desai, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson
【论文链接】https://arxiv.org/abs/1812.08658
【项目链接】https://nocaps.org
29.Meta-Sim Learning to Generate Synthetic Datasets
【作者】Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler
【论文链接】https://arxiv.org/abs/1904.11621
【项目链接】https://nv-tlabs.github.io/meta-sim/
28.What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention
【作者】：Antonino Furnari, Giovanni Maria Farinella
【论文链接】：https://arxiv.org/pdf/1905.09035.pdf
【GitHub】：https://github.com/antoninofurnari/rulstm
【项目链接】：https://iplab.dmi.unict.it/rulstm/
27.Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
【作者】Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee, Winston Hsu
【论文链接】https://arxiv.org/abs/1904.10247
【Github链接】https://github.com/amjltc295/Free-Form-Video-Inpainting
26.Canonical Surface Mapping via Geometric Cycle Consistency
【作者】Nilesh Kulkarni, Abhinav Gupta, Shubham Tulsiani
【论文链接】https://arxiv.org/abs/1907.10043
【项目链接】https://nileshkulkarni.github.io/csm/
25.Tex2Shape: Detailed Full Human Body Geometry from a Single Image
【作者】Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor
【论文链接】https://arxiv.org/abs/1904.08645
【Github链接】https://github.com/thmoa/tex2shape
24.GarNet: A Two-stream Network for Fast and Accurate 3D Cloth Draping
【作者】Erhan Gundogdu, Victor Constantin, Amrollah Seifoddini, Minh Dang, Mathieu Salzmann, Pascal Fua
【论文链接】https://arxiv.org/abs/1811.10983v2
【项目链接】https://cvlab.epfl.ch/research/garment-simulation/garnet/
23.Exploring the Limitations of Behavior Cloning for Autonomous Driving
【作者】Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
【论文链接】https://arxiv.org/abs/1904.08980
【Github链接】https://github.com/felipecode/coiltraine/blob/master/docs/exploring_limitations.md
22.VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research
【作者】Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang
【论文链接】https://arxiv.org/abs/1904.03493
【项目链接】http://vatex.org/main/index.html
21.Point-to-Point Video Generation
【作者】Tsun-Hsuan Wang, Yen-Chi Cheng, Chieh Hubert Lin, Hwann-Tzong Chen, Min Sun
【论文链接】https://arxiv.org/abs/1904.02912
【项目链接】https://zswang666.github.io/P2PVG-Project-Page/?fbclid=IwAR1Cr-T54keo5zzaWLQuYNQMcPoKzXGr6-YrTDoauW6Hb5bOSwgluZQ3fIE
20.Joint Monocular 3D Detection and Tracking
【作者】Hou-Ning Hu, Qizhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
【论文链接】https://arxiv.org/abs/1811.10742
【GitHub链接】https://github.com/ucbdrive/3d-vehicle-tracking
【项目链接】https://eborboihuc.github.io/Mono-3DT/?fbclid=IwAR1maTNHE5z-vEwAJKIcNEpbMWwBcjWJQ0gEHOwHB-u51w5dfeiZNCh0y-U
19.Can GCNs Go as Deep as CNNs?
【作者】Guohao Li, Matthias Müller, Ali Thabet, Bernard Ghanem
【论文链接】https://arxiv.org/abs/1904.03751
【GitHub链接】https://github.com/lightaime/deep_gcns
18.FCOS: Fully Convolutional One-Stage Object Detectio
【作者】Zhi Tian, Chunhua Shen, Hao Chen, Tong He
【论文链接】https://arxiv.org/abs/1904.01355
【Github链接】https://github.com/tianzhi0549/FCOS/
17.MemorizingNormality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) forUnsupervised Anomaly Detection
【作者】Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel
【论文链接】https://arxiv.org/abs/1904.02639
【项目链接】https://donggong1.github.io/anomdec-memae.html
【GitHub】https://github.com/donggong1/memae-anomaly-detection
16.Embodied Visual Recognition
【作者】Jianwei Yang，Zhile Ren，Mingze Xu，Xinlei Chen，David Crandall，Devi Parikh，Dhruv Batra
【论文地址】https://arxiv.org/abs/1904.04404
【项目链接】https://www.cc.gatech.edu/~jyang375/evr.html
15.PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
【作者】Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine
【论文链接】https://arxiv.org/pdf/1905.01296.pdf
【项目链接】https://sites.google.com/view/precog
14.Counting with Focus for Free
【作者】Zenglin Shi, Pascal Mettes, Cees G. M. Snoek
【论文链接】https://arxiv.org/abs/1903.12206
【Github链接】https://github.com/shizenglin/Counting-with-Focus-for-Free
13.Learnable Triangulation of Human Pose
【作者】Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov
【论文链接】https://arxiv.org/abs/1905.05754
【Github链接】https://github.com/karfly/learnable-triangulation-pytorch
【项目链接】https://saic-violet.github.io/learnable-triangulation/
12.Learning to Paint with Model-based Deep Reinforcement Learning
【作者】Zhewei Huang, Wen Heng, Shuchang Zhou
【论文链接】https://arxiv.org/abs/1903.04411
【Github链接】https://github.com/hzwer/ICCV2019-LearningToPaint
11.Model Vulnerability to Distributional Shifts over Image Transformation Sets
【作者】Riccardo Volpi, Vittorio Murino
【论文链接】https://arxiv.org/abs/1903.11900
【Github链接】https://github.com/ricvolpi/domain-shift-robustness
10.PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
【作者】Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan
【论文链接】https://arxiv.org/abs/1906.12320
【Github链接】https://github.com/stevenygd/PointFlow
【项目链接】https://www.guandaoyang.com/PointFlow/
9.Improving Adversarial Robustness via Guided Complement Entropy
【作者】Hao-Yun Chen*, Jhao-Hong Liang*, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan.
【论文链接】https://arxiv.org/abs/1903.09799
【Github链接】https://github.com/henry8527/GCE
8.Scoot: A Perceptual Metric for Facial Sketches
【作者】Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L Rosin, Rongrong Ji
【论文链接】http://dpfan.net/wp-content/uploads/FaceSketch.pdf
【Github链接】http://dpfan.net/wp-content/uploads/Scoot.zip
【项目链接】http://dpfan.net/Scoot/
7.Few-shot Unsupervised Image-to-Image Translation
【作者】Ming-Yu Liu, Xun Huang, Arun Mallya, Tero Karras, Timo Aila, Jaakko Lehtinen, Jan Kautz
【论文链接】https://arxiv.org/abs/1905.01723
【Github链接】https://github.com/nvlabs/FUNIT/
【项目链接】http://www.cs.cornell.edu/~xhuang/publication/funit/
6.PU-GAN: a Point Cloud Upsampling Adversarial Network
【作者】Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, Pheng-Ann Heng
【论文链接】https://arxiv.org/abs/1907.10844
【Github链接】https://github.com/liruihui/PU-GAN
5.End-to-End Wireframe Parsing
【作者】Yichao Zhou, Haozhi Qi, Yi Ma
【论文链接】https://arxiv.org/abs/1905.03246
【Github链接】https://github.com/zhou13/lcnn
4.HoloGAN: Unsupervised learning of 3D representations from natural images
【作者】Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, Yong-Liang Yang
【论文链接】https://arxiv.org/abs/1904.01326
【项目链接】https://www.monkeyoverflow.com/#/hologan-unsupervised-learning-of-3d-representations-from-natural-images/
3.Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image
【作者】Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
【论文链接】https://arxiv.org/abs/1907.11346
【Github链接】https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE
2.Enforcing geometric constraints of virtual normal for depth prediction
【作者】Wei Yin, Yifan Liu, Chunhua Shen, Youliang Yan
【论文链接】https://arxiv.org/abs/1907.12209
【Github链接】https://github.com/YvanYin/VNL_Monocular_Depth_Prediction
1…Optimizing the F-measure for Threshold-free Salient Object Detection
【作者】Kai Zhao, Shanghua Gao, Wenguan Wang, Ming-ming Cheng
【论文链接】http://data.kaizhao.net/publications/iccv2019fmeasure.pdf
【Github链接】https://github.com/zeakey/iccv2019-fmeasure
【项目链接】http://kaizhao.net/fmeasure
