The Pascal Visual Object Classes Challenge: A Retrospective

Everingham, Mark, Eslami, S. M. Ali, Van Gool, Luc, Williams, Christopher K. I., Winn, John, Zisserman, Andrew·2015·International Journal of Computer Vision

Cited by (1,017)

Items 301–400 of 1,017

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    Artem Babenko, Victor Lempitsky · 2014 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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    Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  4. Towards Open World Recognition
    Abhijit Bendale, Terrance E. Boult · 2016
  5. Prime Object Proposals with Randomized Prim's Algorithm
    Santiago Manén, Matthieu Guillaumin, Luc Van Gool · 2013 · IEEE/CVF International Conference on Computer Vision (ICCV)
  6. A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0
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  7. Sparse coding based visual tracking: Review and experimental comparison
    Zhang, Shengping, Yao, Hongxun, Sun, Xin, Lu, Xiusheng · 2013 · Pattern Recognition
  8. Weakly supervised histopathology cancer image segmentation and classification
    Yan Lei Xu, Jun-Yan Zhu, Eric Chang, Maode Lai, Zhuowen Tu · 2014 · Medical Image Analysis
  9. Image‐based concrete crack assessment using mask and region‐based convolutional neural network
    Byunghyun Kim, Soojin Cho · 2019 · Structural Control and Health Monitoring
  10. Distribution-Balanced Loss for Multi-label Classification in Long-Tailed Datasets
    Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin · 2020 · Lecture notes in computer science
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    Xiang Yu, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese · 2016 · Lecture notes in computer science
  12. Methods and datasets on semantic segmentation: A review
    Hongshan Yu, Zhengeng Yang, Lei Tan, Yaonan Wang, Wei Jie Sun, Mingui Sun, Yandong Tang · 2018 · Neurocomputing
  13. Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning
    Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau · 2020 · Lecture notes in computer science
  14. HOGgles: Visualizing Object Detection Features
    Vondrick, Carl, Khosla, Aditya, Malisiewicz, Tomasz, Torralba, Antonio · 2013 · 2013 IEEE International Conference on Computer Vision
  15. Symmetry-based text line detection in natural scenes
    Zheng Zhang, Wei Shen, Cong Yao, Xiang Bai · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  16. Bionic Single-Electrode Electronic Skin Unit Based on Piezoelectric Nanogenerator
    Xiaoxiong Wang, Wei-Zhi Song, Minghao You, Jun Zhang, Miao Yu, Zhiyong Fan, Seeram Ramakrishna, Yun‐Ze Long · 2018 · ACS Nano
  17. Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
    Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  18. Fully automatic wound segmentation with deep convolutional neural networks
    Chuanbo Wang, DM Anisuzzaman, Victor Williamson, Mrinal Kanti Dhar, Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Zeyun Yu · 2020 · Scientific Reports
  19. EVA-02: A visual representation for neon genesis
    Yuxin Fang, Quan Sun, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao · 2024 · Image and Vision Computing
  20. DO-Conv: Depthwise Over-Parameterized Convolutional Layer
    Jinming Cao, Yangyan Li, Mingchao Sun, Ying Chen, Dani Lischinski, Daniel Cohen‐Or, Baoquan Chen, Changhe Tu · 2022 · IEEE Transactions on Image Processing
  21. Weakly Supervised Object Localization and Detection: A Survey
    Zhang, Dingwen, Han, Junwei, Cheng, Gong, Yang, Ming-Hsuan · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  22. VideoMatch: Matching Based Video Object Segmentation
    Hu, Yuan-Ting, Huang, Jia-Bin, Schwing, Alexander G. · 2018 · Lecture Notes in Computer Science
  23. The Cityscapes Dataset
    Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Scharwächter, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, Bernt Schiele · 2015
  24. Interpretable Basis Decomposition for Visual Explanation
    Bolei Zhou, Yiyou Sun, David Bau, Antonio B. Torralba · 2018 · Lecture notes in computer science
  25. PLOP: Learning without Forgetting for Continual Semantic Segmentation
    Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  26. LDConv: Linear deformable convolution for improving convolutional neural networks
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  27. LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
    Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, Yanfei Zhong · 2021 · arXiv (Cornell University)
  28. Rethinking Bottleneck Structure for Efficient Mobile Network Design
    Zhou, Daquan, Hou, Qibin, Chen, Yunpeng, Feng, Jiashi, Yan, Shuicheng · 2020 · Lecture Notes in Computer Science
  29. General Instance Distillation for Object Detection
    Xing Dai, Zeren Jiang, Zhao Wu, Yiping Bao, Zhicheng Wang, Si Liu, Erjin Zhou · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  30. Unsupervised pre-trained filter learning approach for efficient convolution neural network
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  31. All About Structure: Adapting Structural Information Across Domains for Boosting Semantic Segmentation
    Wei-Lun Chang, Hui‐Po Wang, Wen-Hsiao Peng, Wei-Chen Chiu · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  32. Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images
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  33. PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
    Yuliang Zou, Zizhao Zhang, Han Zhang, Chunliang Li, Xiao Bian, Jia‐Bin Huang, Tomas Pfister · 2020 · arXiv (Cornell University)
  34. Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
    Yang Xiao, Renaud Marlet · 2020 · Lecture notes in computer science
  35. Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition
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  36. ThiNet: Pruning CNN Filters for a Thinner Net
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  37. Integral Object Mining via Online Attention Accumulation
    Peng-Tao Jiang, Qibin Hou, Yang Hua Cao, Ming‐Ming Cheng, Yunchao Wei, Hongkai Xiong · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  38. Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images
    Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre · 2017 · Remote Sensing
  39. Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
    Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  40. Semi-Supervised Image Dehazing
    Lerenhan Li, Yunlong Dong, Wenqi Ren, Jinshan Pan, Changxin Gao, Nong Sang, Ming–Hsuan Yang · 2019 · IEEE Transactions on Image Processing
  41. Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion
    Chia‐Hung Yeh, Chu-Han Lin, Li-Wei Kang, Chih-Hsiang Huang, Min-Hui Lin, Chuan‐Yu Chang, Chua‐Chin Wang · 2021 · IEEE Transactions on Neural Networks and Learning Systems
  42. Category-specific object reconstruction from a single image
    Abhishek Kar, Shubham Tulsiani, João Carreira, Jitendra Malik · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  43. Do Convnets Learn Correspondence?
    Jonathan Long, Ning Zhang, Trevor Darrell · 2014 · arXiv (Cornell University)
  44. Four principles of explainable artificial intelligence
    Phillips, P Jonathon, Hahn, Carina A, Fontana, Peter C, Yates, Amy N, Greene, Kristen, Broniatowski, David A, Przybocki, Mark A · 2021
  45. Deep reinforcement learning in computer vision: a comprehensive survey
    Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki, Khoa Luu, Marios Savvides · 2021 · Artificial Intelligence Review
  46. Attention Receptive Pyramid Network for Ship Detection in SAR Images
    Yan Chun Zhao, Lingjun Zhao, Boli Xiong, Gangyao Kuang · 2020 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  47. Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
    Wonjik Kim, Asako Kanezaki, Masayuki Tanaka · 2020 · IEEE Transactions on Image Processing
  48. PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving
    Pengchuan Xiao, Zhenlei Shao, Steven Hao, Zishuo Zhang, Xiaolin Chai, Judy Jiao, Zesong Li, Jian Wu, Kai Sun, Kun Jiang et al. · 2021 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
  49. A Survey on Deep Learning Technique for Video Segmentation
    Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool, Wenguan Wang · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  50. Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
    Mahmood, Faisal, Chen, Richard, Durr, Nicholas J. · 2018 · IEEE Transactions on Medical Imaging
  51. Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals
    Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  52. IMD2020: A Large-Scale Annotated Dataset Tailored for Detecting Manipulated Images
    Adam Novozámský, Babak Mahdian, Stanislav Saic · 2020 · IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
  53. RetinaTrack: Online Single Stage Joint Detection and Tracking
    Lu, Zhichao, Rathod, Vivek, Votel, Ronny, Huang, Jonathan · 2020 · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  54. CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement
    Ho Kei Cheng, Jihoon Chung, Yu‐Wing Tai, Chi–Keung Tang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  55. Situation Recognition: Visual Semantic Role Labeling for Image Understanding
    Mark Yatskar, Luke Zettlemoyer, Ali Farhadi · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  56. Learning a Deep ConvNet for Multi-Label Classification With Partial Labels
    Thibaut Durand, Nazanin Mehrasa, Greg Mori · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  57. The Unmanned Aerial Vehicle Benchmark: Object Detection, Tracking and Baseline
    Hongyang Yu, Guorong Li, Weigang Zhang, Qingming Huang, Dawei Du, Qi Chuan Tian, Nicu Sebe · 2019 · International Journal of Computer Vision
  58. Multimodal Object Detection via Probabilistic Ensembling
    Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong · 2022 · Lecture notes in computer science
  59. Up or Down? Adaptive Rounding for Post-Training Quantization
    Nagel, Markus, Amjad, Rana Ali, van Baalen, Mart, Louizos, Christos, Blankevoort, Tijmen · 2020 · arXiv
  60. The New Data and New Challenges in Multimedia Research.
    Bart Thomée, David A. Shamma, Gerald H Friedland, Benjamin Elizalde, Karl S. Ni, Doug Poland, Damian Borth, Li-Jia Li · 2015 · arXiv (Cornell University)
  61. Parsing IKEA Objects: Fine Pose Estimation
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  62. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
    Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot K. Fishman, Alan Yuille · 2019 · Medical Image Analysis
  63. Infinite Feature Selection: A Graph-based Feature Filtering Approach
    Giorgio Roffo, Simone Melzi, Umberto Castellani, Alessandro Vinciarelli, Marco Cristani · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  64. PVEL-AD: A Large-Scale Open-World Dataset for Photovoltaic Cell Anomaly Detection
    Binyi Su, Zhong Zhou, Haiyong Chen · 2022 · IEEE Transactions on Industrial Informatics
  65. UMDFaces: An annotated face dataset for training deep networks
    Ankan Bansal, Anirudh Nanduri, Carlos D. Castillo, Rajeev Ranjan, Rama Chellappa · 2017 · IEEE International Joint Conference on Biometrics (IJCB)
  66. Bringing Old Photos Back to Life
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  67. Detection in Crowded Scenes: One Proposal, Multiple Predictions
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  68. Deep Learning for SAR Ship Detection: Past, Present and Future
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  69. From Red Wine to Red Tomato: Composition with Context
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  71. A Comprehensive Review of Convolutional Neural Networks for Defect Detection in Industrial Applications
    Rahima Khanam, Muhammad Hussain, Richard Child Hill, Paul Allen · 2024 · IEEE Access
  72. RDD2020: An annotated image dataset for automatic road damage detection using deep learning
    Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto · 2021 · Data in Brief
  73. Large-Scale Interactive Object Segmentation With Human Annotators
    Rodrigo Benenson, Stefan Popov, Vittorio Ferrari · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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