Recent advances in deep learning for object detection

Cites (301)

Items 201–301 of 301

1. Learning a category independent object detection cascade
   Esa Rahtu, Juho Kannala, Matthew B. Blaschko · 2011 · IEEE/CVF International Conference on Computer Vision (ICCV)
2. LocNet: Improving Localization Accuracy for Object Detection
   Gidaris, Spyros, Komodakis, Nikos · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
3. Face Attention Network: An Effective Face Detector for the Occluded Faces
   Jianfeng Wang, Ye Yuan, Gang Yu · 2017 · arXiv (Cornell University)
4. Contextual Priming and Feedback for Faster R-CNN
   Shrivastava, Abhinav, Gupta, Abhinav · 2016 · Lecture Notes in Computer Science
5. CornerNet: Detecting Objects as Paired Keypoints
   Hei Law, Jia Deng · 2018 · arXiv (Cornell University)
6. Handling Occlusions with Franken-Classifiers
   Markus Mathias, Rodrigo Benenson, Radu Timofte, Luc Van Gool · 2013 · IEEE/CVF International Conference on Computer Vision (ICCV)
7. Single-Pedestrian Detection Aided by Multi-pedestrian Detection
   Ouyang, Wanli, Wang, Xiaogang · 2013 · 2013 IEEE Conference on Computer Vision and Pattern Recognition
8. Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
   Shivang Agarwal, Jean Ogier du Terrail, Frédéric Jurie · 2018 · arXiv (Cornell University)
9. HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection
   Tao Kong, Anbang Yao, Yurong Chen · 2016 · arXiv (Cornell University)
10. Gated Bi-directional CNN for Object Detection
    Xingyu Zeng, Wanli Ouyang, Bin Yang, Junjie Yan, Xiaogang Wang · 2016 · Lecture notes in computer science
11. Scale-Aware Face Detection
    Hao, Zekun, Liu, Yu, Qin, Hongwei, Yan, Junjie, Li, Xiu, Hu, Xiaolin · 2017 · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
12. CRAFT Objects from Images
    Bin Yang, Junjie Yan, Zhen Lei, Stan Ziqing Li · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
13. Bottom-Up Segmentation for Top-Down Detection
    Sanja Fidler, Roozbeh Mottaghi, Alan Yuille, Raquel Urtasun · 2013 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
14. Modeling Mutual Visibility Relationship in Pedestrian Detection
    Wanli Ouyang, Xingyu Zeng, Xiaogang Wang · 2013 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
15. To boost or not to boost? On the limits of boosted trees for object detection
    Eshed Ohn-Bar, Mohan Manubhai Trivedi · 2016 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
16. Context Refinement for Object Detection
    Zhe Chen, Shaoli Huang, Dacheng Tao · 2018 · Lecture notes in computer science
17. StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
    Sanghyun Woo, Soonmin Hwang, In So Kweon · 2018 · IEEE Winter Conference on Applications of Computer Vision
18. Bottom-up Object Detection by Grouping Extreme and Center Points
    Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl · 2019 · arXiv (Cornell University)
19. Face Detection through Scale-Friendly Deep Convolutional Networks
    Shuo Yang, Yuanjun Xiong, Chen Change Loy, Tang, Xiaoou · 2017 · arXiv (Cornell University)
20. Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages
    Li, Yuxi, Li, Jiuwei, Lin, Weiyao, Li, Jianguo · 2018 · arXiv
21. From Facial Parts Responses to Face Detection: A Deep Learning Approach
    Shuo Yang, Ping Luo, Chen Change Loy · 2015 · arXiv (Cornell University)
22. Bilattice-based Logical Reasoning for Human Detection
    Vinay D. Shet, Jan Neumann, Visvanathan Ramesh, Larry Steven Davis · 2007 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
23. Deep Learning Logo Detection with Data Expansion by Synthesising Context
    Hang Su, Xiatian Zhu, Shaogang Gong · 2017 · IEEE Winter Conference on Applications of Computer Vision
24. Ten Years of Pedestrian Detection, What Have We Learned?
    Rodrigo Benenson, Mohamed Omran, Jan Hosang · 2014 · arXiv (Cornell University)
25. Recurrent Scale Approximation for Object Detection in CNN
    Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
26. Rethinking ImageNet Pre-training
    Kaiming He, Ross Girshick, Piotr Dollár · 2018 · arXiv (Cornell University)
27. DSOD: Learning Deeply Supervised Object Detectors from Scratch
    Shen, Zhiqiang, Liu, Zhuang, Li, Jianguo · 2017 · arXiv
28. Detecting Faces Using Region-based Fully Convolutional Networks
    Yitong Wang, Xing Ji, Zheng Zhou · 2017 · arXiv (Cornell University)
29. Adaptive Object Detection Using Adjacency and Zoom Prediction
    Lu, Yongxi, Javidi, Tara, Lazebnik, Svetlana · 2016 · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
30. Spatial pyramid mining for logo detection in natural scenes
    Jim Kleban, Xing Xie, Wei‐Ying Ma · 2008 · IEEE International Conference on Multimedia and Expo (ICME)
31. Perceptual Generative Adversarial Networks for Small Object Detection
    Jianan Li, Xiaodan Liang, Yunchao Wei · 2017 · arXiv (Cornell University)
32. Scale-Aware Trident Networks for Object Detection
    Yanghao Li, Yuntao Chen, Naiyan Wang · 2019 · arXiv (Cornell University)
33. Detecting Faces Using Inside Cascaded Contextual CNN
    Kaipeng Zhang, Zhanpeng Zhang, Hao Wang, Zhifeng Li, Yu Qiao, Wei Liu · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
34. DetNAS: Neural Architecture Search on Object Detection.
    Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Chunhong Pan, Jian Sun · 2019 · arXiv (Cornell University)
35. Deep Regionlets for Object Detection
    Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Navaneeth Bodla, Rama Chellappa · 2018 · Lecture notes in computer science
36. Face R-CNN
    Hao Wang, Zhifeng Li, Ji, Xing, Yitong Wang · 2017 · arXiv (Cornell University)
37. Deep feature based contextual model for object detection
    Wenqing Chu, Deng Cai · 2017 · Neurocomputing
38. PCN: Part and Context Information for Pedestrian Detection with CNNs
    Shiguang Wang · 2017 · British Machine Vision Conference (BMVC)
39. RON: Reverse Connection with Objectness Prior Networks for Object Detection
    Tao Kong, Fuchun Sun, Anbang Yao · 2017 · arXiv (Cornell University)
40. CityPersons: A Diverse Dataset for Pedestrian Detection
    Shanshan Zhang, Rodrigo Benenson, Bernt Schiele · 2017 · arXiv (Cornell University)
41. Gradient Harmonized Single-stage Detector
    Buyu Li, Yu Liu, Xiaogang Wang · 2018 · arXiv (Cornell University)
42. LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
    Steven C. H. Hoi, Xiongwei Wu, Hantang Liu · 2015 · arXiv (Cornell University)
43. Illuminating Pedestrians via Simultaneous Detection & Segmentation
    Garrick Brazil, Xi Peng Yin, Xiaoming Liu · 2017 · arXiv (Cornell University)
44. MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
    Lisha Cui, Rui Ma, Pei Lv · 2018 · arXiv (Cornell University)
45. Face Detection Using Improved Faster RCNN
    Changzheng Zhang, Xiang Xu, Dandan Tu · 2018 · arXiv (Cornell University)
46. Learning non-maximum suppression
    Jan Hosang, Rodrigo Benenson, Bernt Schiele · 2017 · arXiv (Cornell University)
47. Acquisition of Localization Confidence for Accurate Object Detection
    Borui Jiang, Ruixuan Luo, Jiayuan Mao · 2018 · arXiv (Cornell University)
48. Semantic head enhanced pedestrian detection in a crowd
    Ruiqi Lu, Huimin Ma, Yu Wang · 2020 · Neurocomputing
49. Learning Complexity-Aware Cascades for Deep Pedestrian Detection
    Zhaowei Cai, Mohammad Javad Saberian, Nuno M. Vasconcelos · 2015 · arXiv (Cornell University)
50. Taking a Deeper Look at Pedestrians
    Jan Hosang, Mohamed Omran, Rodrigo Benenson · 2015 · arXiv (Cornell University)
51. A Hierarchical Deep Architecture and Mini-batch Selection Method for Joint Traffic Sign and Light Detection
    Alex Pon, Oles Adrienko, Ali Harakeh, Steven L. Waslander · 2018 · Canadian Conference on Computer and Robot Vision
52. Local Decorrelation For Improved Detection
    Woonhyun Nam, Piotr Dollár, Joon Hee Han · 2014 · arXiv (Cornell University)
53. DeRPN: Taking a Further Step toward More General Object Detection
    Lele Xie, Yuliang Liu, Lianwen Jin, Zecheng Xie · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
54. Enhancement of SSD by concatenating feature maps for object detection
    Jisoo Jeong, Hyojin Park, Nojun Kwak · 2017 · arXiv (Cornell University)
55. Single-Shot Scale-Aware Network for Real-Time Face Detection
    Shifeng Zhang, Longyin Wen, Hailin Shi, Zhen Lei, Siwei Lyu, Stan Ziqing Li · 2019 · International Journal of Computer Vision
56. segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection
    Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov · 2015 · arXiv (Cornell University)
57. PyramidBox: A Context-assisted Single Shot Face Detector
    Xu Tang, Daniel K. Du, Zeqiang He · 2018 · arXiv (Cornell University)
58. Accurate Single Stage Detector Using Recurrent Rolling Convolution
    Jimmy Ren, Xiaohao Chen, Jianbo Liu · 2017 · arXiv (Cornell University)
59. Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection
    Wong, Alexander, Shafiee, Mohammad Javad, Li, Francis · 2018 · arXiv
60. Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features
    Matthias Rätsch, Sami Romdhani, Thomas Vetter · 2004 · Lecture notes in computer science
61. ShuffleDet: Real-Time Vehicle Detection Network in On-Board Embedded UAV Imagery
    Seyed Majid Azimi · 2019 · Lecture notes in computer science
62. Anchor Cascade for Efficient Face Detection
    Baosheng Yu, Dacheng Tao · 2018 · IEEE Transactions on Image Processing
63. Improving Object Detection from Scratch via Gated Feature Reuse
    Zhiqiang Shen, Shi, Honghui, Jiahui Yu, Phan, Hai, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides · 2017 · arXiv (Cornell University)
64. A Structural Filter Approach to Human Detection
    Genquan Duan, Haizhou Ai, Shihong Lao · 2010 · Lecture notes in computer science
65. RepMet: Representative-based metric learning for classification and one-shot object detection
    Leonid Karlinsky, Joseph Shtok, Sivan Harary, Schwartz, Eli, Amit Aides, Rogério Feris, Raja Giryes, Alex M. Bronstein · 2018 · arXiv (Cornell University)
66. Mask-Guided Attention Network for Occluded Pedestrian Detection
    Yanwei Pang, Jin Xie, Muhammad Haris Khan · 2019 · arXiv (Cornell University)
67. Improved Selective Refinement Network for Face Detection
    Shifeng Zhang, Rui Zhu, Xiaobo Wang, Hailin Shi, Tianyu Fu, Shuo Wang, Tao Mei, Stan Ziqing Li · 2019 · arXiv (Cornell University)
68. PyramidBox++: High Performance Detector for Finding Tiny Face
    Zhihang Li, Xu Tang, Junyu Han, Jingtuo Liu, Ran He · 2019 · arXiv (Cornell University)
69. Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
    Wanxin Tian, Zixuan Wang, Haifeng Shen, Weihong Deng, Meng, Yiping, Binghui Chen, Xiubao Zhang, Yuan Zhao, Xiehe Huang · 2018 · arXiv (Cornell University)
70. Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids.
    Zhiqiang Shen, Humphrey Shi, Rogério Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang · 2017 · arXiv (Cornell University)
71. Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
    Shifeng Zhang, Longyin Wen, Xiao Bian · 2018 · arXiv (Cornell University)
72. Scale-Aware Face Detection
    Zekun Hao, Yu Liu, Hongwei Qin · 2017 · arXiv (Cornell University)
73. Feature Agglomeration Networks for Single Stage Face Detection
    Jialiang Zhang, Xiongwei Wu, Jianke Zhu · 2017 · arXiv (Cornell University)
74. Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
    Bowen Cheng, Yunchao Wei, Shi, Honghui · 2018 · arXiv (Cornell University)
75. Zoom Out-and-In Network with Recursive Training for Object Proposal
    Hongyang Li, Yu Liu, Wanli Ouyang, Xiaogang Wang · 2017 · arXiv (Cornell University)
76. Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships
    Yong Liu, Ruiping Wang, Shiguang Shan · 2018 · arXiv (Cornell University)
77. Feature Selective Networks for Object Detection
    Yao Zhai, Jingjing Fu, Yan Lu, Houqiang Li · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
78. Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs
    Wei Shen, Kai Zhao, Yuan Jiang · 2016 · arXiv (Cornell University)
79. Selective Refinement Network for High Performance Face Detection
    Cheng Chi, Shifeng Zhang, Junliang Xing · 2018 · arXiv (Cornell University)
80. Accurate Face Detection for High Performance
    Faen Zhang, Xinyu Fan, Guo Ai, Jianfei Song, Yongqiang Qin, Jiahong Wu · 2019 · arXiv (Cornell University)
81. Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
    Dan Xu, Wanli Ouyang, Elisa Ricci · 2017 · arXiv (Cornell University)
82. Robust and High Performance Face Detector
    Zhang, Yundong, Xiang Xu, Liu, Xiaotao · 2019 · arXiv (Cornell University)
83. Residual Features and Unified Prediction Network for Single Stage Detection
    Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong, Nojun Kwak · 2017 · arXiv (Cornell University)
84. Face-MagNet: Magnifying Feature Maps to Detect Small Faces
    Pouya Samangouei, Rama Chellappa, Mahyar Najibi, Larry Steven Davis · 2018 · IEEE Winter Conference on Applications of Computer Vision
85. RefineFace: Refinement Neural Network for High Performance Face Detection
    Shifeng Zhang, Cheng Chi, Zhen Lei · 2019 · arXiv (Cornell University)
86. Fine-Grained Car Detection for Visual Census Estimation
    Timnit Gebru, Jonathan Krause, Yilun Wang · 2017 · arXiv (Cornell University)
87. ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch.
    Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei · 2018 · arXiv (Cornell University)
88. DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
    Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool · 2015 · arXiv (Cornell University)
89. DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling
    Lachlan Tychsen-Smith, Lars Petersson · 2017 · arXiv (Cornell University)
90. Scalable Deep Learning Logo Detection
    Hang Su, Shaogang Gong, Xiatian Zhu · 2018 · arXiv (Cornell University)
91. Multi-scale Location-aware Kernel Representation for Object Detection
    Hao Wang, Qilong Wang, Mingqi Gao · 2018 · arXiv (Cornell University)
92. SRN: Side-output Residual Network for Object Symmetry Detection in the Wild
    Wei Ke, Jie Chen, Jianbin Jiao · 2017 · arXiv (Cornell University)
93. Multi-path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained "Hard Faces"
    Yuguang Liu, Martin D. Levine · 2017 · Conference on Computer and Robot Vision (CRV)
94. Learning Region Features for Object Detection
    Jiayuan Gu, Han Hu, Liwei Wang · 2018 · arXiv (Cornell University)
95. PCN: Part and Context Information for Pedestrian Detection with CNNs
    Shiguang Wang, Jian Cheng, Haijun Liu · 2018 · arXiv (Cornell University)
96. DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
    Yi Zhou, Li Liu, Ling Shao · 2016 · arXiv (Cornell University)
97. DeRPN: Taking a further step toward more general object detection
    Lele Xie, Yuliang Liu, Lianwen Jin · 2018 · arXiv (Cornell University)
98. Semantic Head Enhanced Pedestrian Detection in a Crowd
    Ruiqi Lu, Huimin Ma · 2019 · arXiv (Cornell University)
99. Attribute-aware Pedestrian Detection in a Crowd
    Jialiang Zhang, Lixiang Lin, Yang Li · 2019 · arXiv (Cornell University)
100. Pseudo Mask Augmented Object Detection
     Xiangyun Zhao, Shuang Liang, Yichen Wei · 2018 · arXiv (Cornell University)
101. Auto-Context R-CNN
     Bo Li, Tianfu Wu, Lun Zhang · 2018 · arXiv (Cornell University)