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Recommended Papers Maintenance DUB

  • The goal of this document is to provide a reading list for Deep Learning in Computer Vision Field.

Recommended Links new

  • Deep Learning Paper Reading Roadmap from songrotek

    If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?"

    Here is a reading roadmap of Deep Learning papers! link

  • Deep-Learning-Paper list from sbrugman

    Deep Learning Papers by task! link

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Papers

Paper list.

Salient Object Detection
No. Figure Title Authors Pub. Links
1 MDF Visual Saliency Based on Multiscale Deep Features Guanbin Li, Yizhou Yu CVPR 2015 project page
2 MCDL Saliency Detection by Multi-context Deep Learning Rui Zhao, Wanli Ouyang, Hongsheng Li, Xiaogang Wang CVPR 2015 paper code
3 LEGS Deep Networks for Saliency Detection via Local Estimation and Global Search Lijun Wang, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang CVPR 2015 paper code
4 DHS DHSNet: Deep Hierarchical Saliency Network for Salient Object Detection Nian Liu, Junwei Han CVPR 2016 paper Google Drive Baidu Yun ⭐
5 DCL Deep Contrast Learning for Salient Object Detection Guanbin Li, Yizhou Yu CVPR 2016 project page
6 SU Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation Srinivas S S Kruthiventi, Vennela Gudisa, Jaley H Dholakiya and R. Venkatesh Babu CVPR 2016 project page
7 ELD Deep Saliency with Encoded Low level Distance Map and High Level Features Gayoung Lee, Yu-Wing Tai, Junmo Kim CVPR 2016 paper code
8 RAN Recurrent Attentional Networks for Saliency Detection Jason Kuen, Zhenhua Wang, Gang Wang CVPR 2016 paper
9 DS DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection Xi Li, Liming Zhao, Lina Wei, Ming-Hsuan Yang, Fei Wu, Yueting Zhuang, Haibin Ling, Jingdong Wang TIP 2016 project page
10 SSD-HS A Shape-Based Approach for Salient Object Detection Using Deep Learning Jongpil Kim, Vladimir Pavlovic ECCV 2016 paper Pre-computed Maps
11 RFCN Saliency Detection with Recurrent Fully Convolutional Networks Linzhao Wang, Lijun Wang, Huchuan Lu, Pingping Zhang, Xiang Ruan ECCV 2016 paper code
12 DSS Deeply Supervised Salient Object Detection with Short Connections Qibin Hou, Ming-Ming Cheng, Xiaowei Hu, Ali Borji, Zhuowen Tu, Philip Torr CVPR 2017 paper github ⭐
13 NLDF Non-Local Deep Features for Salient Object Detection Zhiming Luo, Akshaya Mishra , Andrew Achkar , Justin Eichel , Shaozi Li , Pierre-Marc.Jodoin CVPR 2017 project page
14 MSRNet Instance-Level Salient Object Segmentation Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu CVPR 2017 paper
15 WSS Learning to Detect Salient Objects with Image-level Supervision Lijun Wang, Huchuan Lu, Yifan Wang, Mengyang Feng, Dong Wang, Baocai Yin , Xiang Ruan CVPR 2017 paper github
16 DLS Deep Level Sets for Salient Object Detection Ping Hu, Bing Shuai, Jun Liu, Gang Wang CVPR 2017 paper
17 UCF Learning Uncertain Convolutional Features for Accurate Saliency Detection Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang, Baocai Yin ICCV 2017 paper github
18 Amulet Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection Pingping Zhang, Dong Wang, Huchuan Lu, Hongyu Wang, Xiang Ruan ICCV 2017 paper github
Visual Object Tracking

Recommended Homepage---OTB Results. This shares results for more recent trackers.

Object Detection
No. Figure Title Authors Pub. Links
1 R-CNN Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik CVPR 2014 paper github ⭐
2 Fast-R-CNN Fast R-CNN Ross Girshick ICCV 2015 paper github ⭐
3 Faster-R-CNN Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun NIPS 2015 paper matlab python pytorch ⭐
4 CFM Convolutional Feature Masking for Joint Object and Stuff Segmentation Jifeng Dai, Kaiming He, Jian Sun CVPR 2015 paper
5 MNC Instance-aware Semantic Segmentation via Multi-task Network Cascades Jifeng Dai, Kaiming He, Jian Sun CVPR 2016 paper github ⭐
6 Region-FCN R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai, Yi Li, Kaiming He, Jian Sun NIPS 2016 paper github
7 FPN Feature Pyramid Networks for Object Detection Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie CVPR 2017 paper
8 Mask-R-CNN Mask R-CNN Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick ICCV 2017 paper ⭐
9 A-Fast-R-CNN A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta CVPR 2017 paper github ⭐
10 MIDN Multiple Instance Detection Network with Online Instance Classifier Refinement Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu CVPR 2017 paper
11 R-FCN-3000 R-FCN-3000 at 30fps: Decoupling Detection and Classification Bharat Singh, Hengdou Li, Abhishek Sharma and Larry S. Davis Tech Report paper
Object Localization
No. Figure Title Authors Pub. Links
1 SDS Simultaneous Detection and Segmentation Bharath Hariharan, Pablo Arbeláez, Ross Girshick, Jitendra Malik ECCV 2014 paper ⭐
2 WSOL Deep Self-Taught Learning for Weakly Supervised Object Localization Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu CVPR 2017 paper
3 LDDP Learning Detection with Diverse Proposals Samaneh Azadi, Jiashi Feng, Trevor Darrell CVPR 2017 paper
4 TPL Two-Phase Learning for Weakly Supervised Object Localization Dahun Kim, Donghyeon Cho, Donggeun Yoo, In So Kweon ICCV 2017 paper
5 SPN Soft Proposal Networks for Weakly Supervised Object Localization Yi Zhu, Yanzhao Zhou, Qixiang Ye, Qiang Qiu and Jianbin Jiao ICCV 2017 paper github
Semantic Segmentation and Scene Parsing
No. Figure Title Authors Pub. Links
1 FCN Fully Convolutional Networks for Semantic Segmentation Jonathan Long, Evan Shelhamer, Trevor Darrell CVPR 2015 paper ⭐
2 LSOC Learning to Segment Object Candidates Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar NIPS 2015 paper
3 LROS Learning to Refine Object Segments Pedro O. Pinheiro , Tsung-Yi Lin , Ronan Collobert, Piotr Doll ́ar arXiv 1603.08695 paper
4 CRFRNN Conditional Random Fields as Recurrent Neural Networks Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, ZhiZhong Su, Dalong Du, Chang Huang, and Philip H. S. Torr ICCV 2015 paper
5 LDN Learning Deconvolution Network for Semantic Segmentation Heonwoo Noh, Seunghoon Hong, Bohyung Han ICCV 2015 paper
6 ISFCN Instance-sensitive Fully Convolutional Networks Jifeng Dai, Kaiming He, Yi Li, Shaoqing Ren, Jian Sun ECCV 2016 paper
7 LPRR Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation Golnaz Ghiasi, Charless C. Fowlkes ECCV 2016 paper github
8 Attention-to-scale Attention to Scale: Scale-aware Semantic Image Segmentation Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu CVPR 2016 paper DeepLab ⭐
9 RefineNet RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation Guosheng Lin, Anton Milan, Chunhua Shen, Ian Reid CVPR 2017 paper github
10 PSPNet Pyramid Scene Parsing Network Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia CVPR 2017 paper github
11 DRN Dilated Residual Networks Fisher Yu, Vladlen Koltun, Thomas Funkhouser CVPR 2017 paper
12 FCIS Fully Convolutional Instance-aware Semantic Segmentation Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, Yichen Wei CVPR 2017 paper github
13 FRRN Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes Tobias Pohlen, Alexander Hermans, Markus Mathias, Bastian Leibe CVPR 2017 paper github
14 A-Erasing Object Region Mining with Adversarial Erasing: A Simple Classification toSemantic Segmentation Approach Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan CVPR 2017 paper ⭐
15 Not-All-Pixels-Are-Equal Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade Xiaoxiao Li, Ziwei Liu, Ping Luo, Chen Change Loy, Xiaoou Tang CVPR 2017 paper
16 Rev-Attention Semantic Segmentation with Reverse Attention Qin Huang, Chunyang Xia, Wuchi Hao, Siyang Li, Ye Wang, Yuhang Song and C.-C. Jay Kuo BMVC 2017 paper code
17 Deeper-into-Future Predicting Deeper into the Future of Semantic Segmentation Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek and Yann LeCun ICCV 2017 paper project page
18 Seg-Everything Learning to Segment Every Thing Ronghang Hu, Piotr Dollar, Kaiming He, Trevor Darrell, Ross Girshick Tech Report paper
Edge Detection
No. Figure Title Authors Pub. Links
1 HED Holistically-Nested Edge Detection Saining Xie, Zhuowen Tu ICCV 2015 paper github ⭐
2 RCF Richer Convolutional Features for Edge Detection Yun Liu, Ming-Ming Cheng, Xiaowei Hu, Kai Wang, Xiang Bai CVPR 2017 paper project page
3 CASENet CASENet: Deep Category-Aware Semantic Edge Detection Zhiding Yu, Chen Feng, Ming-Yu Liu, Srikumar Ramalingam CVPR 2017 paper
Pose Estimation
No. Figure Title Authors Pub. Links
1 Hourglass Stacked Hourglass Networks for Human Pose Estimation Alejandro Newell, Kaiyu Yang, and Jia Deng ECCV 2016 paper ⭐
2 MCA Multi-Context Attention for Human Pose Estimation Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang CVPR 2017 paper github
Super Resolution
No. Figure Title Authors Pub. Links
1 LapSRN Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang CVPR 2017 project page
2 DRRN Image Super-Resolution via Deep Recursive Residual Network Ying Tai, Jian Yang, and Xiaoming Liu CVPR 2017 paper github
Image Classification
No. Figure Title Authors Pub. Links
1 GoogLeNet Going Deeper with Convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed CVPR 2015 paper ⭐
2 ResNet Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun CVPR 2016 best paper github ⭐
3 Res-Attention-Network Residual Attention Network for Image Classification Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang CVPR 2017 paper github ⭐
4 ResNeXt Aggregated Residual Transformations for Deep Neural Networks Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He CVPR 2017 paper github
5 DenseNet Densely Connected Convolutional Networks Gao Huang, Zhuang Liu, Kilian Q. Weinberger CVPR 2017 best paper github ⭐
6 PyramidNet Deep Pyramidal Residual Networks Dongyoon Han, Jiwhan Kim, Junmo Kim CVPR 2017 paper github ⭐
Others
No. Figure Title Authors Pub. Links
1 FSDSO Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai ICCV 2016 paper github
2 AnchorNet AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching David Novotny, DianeLarlus, Andrea Vedaldi CVPR 2017 paper
3 SRN SRN：Side-output Residual Network for Object Symmetry Detection in the Wild Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao and Qixiang Ye CVPR 2017 paper github ⭐
4 QAN Quality Aware Network for Set to Set Recognition Yu Liu, Junjie Yan, Wanli Ouyang CVPR 2017 paper
5 Continuous-CRFs Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe CVPR 2017 paper github ⭐
6 CMT Learning Cross-Modal Deep Representations for Robust Pedestrian Detection Dan Xu, Wanli Ouyang, Elisa Ricci, Xiaogang Wang, Nicu Sebe CVPR 2017 paper
7 SS-DMP Semi-Supervised Deep Learning for Monocular Depth Map Prediction Yevhen Kuznietsov, Jörg Stückler, Bastian Leibe CVPR 2017 paper
8 DRNet Detecting Visual Relationships with Deep Relational Networks Bo Dai, Yuqi Zhang, Dahua Lin CVPR 2017 paper github
9 Polygon-RNN Annotating Object Instances with a Polygon-RNN Lluis Castrejon, Kaustav Kundu, Raquel Urtasun, Sanja Fidler CVPR 2017 paper ⭐
10 WCCN Weakly Supervised Cascaded Convolutional Networks Ali Diba, Vivek Sharma, Ali Pazandeh, Hamed Pirsiavash, Luc Van Gool CVPR 2017 paper
11 GRU Full Resolution Image Compression with Recurrent Neural Networks George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell CVPR 2017 paper github
12 FSOR Few-Shot Object Recognition from Machine-Labeled Web Images Zhongwen Xu, Linchao Zhu, Yi Yang CVPR 2017 paper
13 UberNet UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos CVPR 2017 paper code
14 CP-CNN Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs Vishwanath A. Sindagi and Vishal M. Patel ICCV 2017 paper
15 MemNet MemNet: A Persistent Memory Network for Image Restoration Ying Tai, Jian Yang, Xiaoming Liu, Chunyan Xu ICCV 2017 paper github
16 DataDis Data Distillation: Towards Omni-Supervised Learning Ilija Radosavovic, Piotr Dollar, Ross Girshick, GeorgiaGkioxari and Kaiming He Tech Report paper
17 NonLocalNN Non-local Neural Networks Xiaolong Wang, Ross Girshick, Abhinav Gupta and Kaiming He Tech Report paper