76篇 ICCV 2019 论文实现代码

ゞ浴缸里的玫瑰 2024-04-19 15:30 7阅读 0赞

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

76篇 ICCV 2019 论文实现代码

发表评论取消回复

还没有评论，来说两句吧...

相关阅读

相关 76篇 ICCV 2019 论文实现代码

相关 CVPR && ICCV 2019 论文阅读

相关 ICCV2019超分辨率方向论文整理笔记

相关 SLAM_2019-ICCV_GSLAM:通用 SLAM 框架和基准

相关 Deep Parametric Indoor Light Estimation ICCV 2019论文详解

相关 ICCV 2021 最佳论文（马尔奖）

相关 ICCV2021论文全汇总！附下载链接

相关 CVPR ECCV ICCV 计算机视觉顶会论文下载

相关 MaskRCNN-ICCV2017 论文解读

相关【ICCV2015】Holistically-Nested Edge Detection论文阅读笔记