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 601–700 of 1,017

  1. Supervised Evaluation of Image Segmentation and Object Proposal Techniques
    Jordi Pont-Tuset, Ferran Marqués · 2015 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  2. VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
    Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu et al. · 2019 · Lecture notes in computer science
  3. An End-To-End Network for Panoptic Segmentation
    Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  4. VisDrone-VID2019: The Vision Meets Drone Object Detection in Video Challenge Results
    Pengfei Zhu, Dawei Du, Longyin Wen, Xiao Bian, Haibin Ling, Qinghua Hu, Tao Peng, Jiayu Zheng, Xinyao Wang, Yue Zhang et al. · 2019 · IEEE International Conference on Computer Vision Workshops
  5. DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments
    Salman Khan, Khan Muhammad, Tanveer Hussain, Javier Del Ser, Fabio Cuzzolin A, Siddhartha Bhattacharyya, Zahid Akhtar, Victor Hugo C. de Albuquerque · 2021 · Expert Systems with Applications
  6. Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
    Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  7. Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
    Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  8. Self-taught object localization with deep networks
    Bazzani, Loris, Bergamo, Alessandra, Anguelov, Dragomir, Torresani, Lorenzo · 2016 · 2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
  9. Convolutional Oriented Boundaries
    Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbeláez, Luc Van Gool · 2016 · Lecture notes in computer science
  10. RENAS: Reinforced Evolutionary Neural Architecture Search
    Yukang Chen, Gaofeng Meng, Qian Zhang, Shiming Xiang, Chang Huang, Lisen Mu, Xinggang Wang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  11. Anticipating Traffic Accidents with Adaptive Loss and Large-Scale Incident DB
    Tomoyuki Suzuki, Hirokatsu Kataoka, Yoshimitsu Aoki, Yutaka Satoh · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  12. RECALL: Replay-based Continual Learning in Semantic Segmentation
    Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  13. High-Quality Proposals for Weakly Supervised Object Detection
    Gong Cheng, Junyu Yang, Decheng Gao, Lei Guo, Junwei Han · 2020 · IEEE Transactions on Image Processing
  14. DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
    Holger R. Roth, Le Lü, Amal A. Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Bengi Turkbey, Ronald M. Summers · 2015 · arXiv (Cornell University)
  15. Fine-Grained Image Classification by Exploring Bipartite-Graph Labels
    Feng Zhou, Yuanqing Lin · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  16. Majority Vote of Diverse Classifiers for Late Fusion
    Emilie Morvant, Amaury Habrard, Stéphane Ayache · 2014 · Lecture notes in computer science
  17. Salient Object Detection via Multiple Instance Learning
    Fang Lin Huang, Jinqing Qi, Huchuan Lu, Lihe Zhang, Xiang Ruan · 2017 · IEEE Transactions on Image Processing
  18. Learning Superpixels with Segmentation-Aware Affinity Loss
    Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao‐Yi Chien, Ming–Hsuan Yang, Jan Kautz · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  19. Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation
    Patrick Follmann, Rebecca König, Philipp Härtinger, Michael Klostermann, Tobias Bottger · 2019 · IEEE Winter Conference on Applications of Computer Vision
  20. A survey on boosting IoT security and privacy through blockchain
    Omar Alfandi, Salam Ismail Rasheed Khanji, Liza Abdallah Ahmad, Asad Masood Khattak · 2020 · Cluster Computing
  21. Damage identification of wind turbine blades with deep convolutional neural networks
    Ji-Hong Guo, Chao Liu, Jinfeng Cao, Dong-Xiang Jiang · 2021 · Renewable Energy
  22. ML-Decoder: Scalable and Versatile Classification Head
    Tal Ridnik, Gilad Sharir, Avi Ben-Cohen, Emanuel Ben-Baruch, Asaf Noy · 2023 · IEEE Winter Conference on Applications of Computer Vision
  23. Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation
    Jie Qin, Jie Wu, Xuefeng Xiao, Lujun Li, Xingang Wang · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
  24. Towards Accurate One-Stage Object Detection With AP-Loss
    Kean Chen, Jianguo Li, Weiyao Lin, John See, Ji Wang, Lingyu Duan, Zhibo Chen, Changwei He, Junni Zou · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  25. Towards Bridging Semantic Gap to Improve Semantic Segmentation
    Yanwei Pang, Yazhao Li, Jianbing Shen, Ling Shao · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  26. LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
    Lin Fan Zhao, Hui Zhou, Xinge Zhu, Xiao Song, Hongsheng Li, Wenbing Tao · 2023 · IEEE Transactions on Multimedia
  27. Label, Verify, Correct: A Simple Few Shot Object Detection Method
    Prannay Kaul, Weidi Xie, Andrew Zisserman · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  28. Four Principles of Explainable Artificial Intelligence
    Phillips, P. Jonathon, Hahn, Carina A., Fontana, Peter C., Broniatowski, David A., Przybocki, Mark A. · 2020
  29. Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots
    João Cartucho, Rodrigo Ventura, Manuela Veloso · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  30. Spatially Conditioned Graphs for Detecting Human–Object Interactions
    Frederic Z. Zhang, Dylan Campbell, Stephen Jay Gould · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  31. Scene Parsing by Integrating Function, Geometry and Appearance Models
    Zhao, Yibiao, Zhu, Song-Chun · 2013 · 2013 IEEE Conference on Computer Vision and Pattern Recognition
  32. Fisher vectors meet Neural Networks: A hybrid classification architecture
    Florent Perronnin, Diane Larlus · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  33. Pixel-Wise Crowd Understanding via Synthetic Data
    Qi Wang, Junyu Gao, Wenbin Lin, Yuan Yuan · 2020 · International Journal of Computer Vision
  34. Deep learning for video classification and captioning
    Zuxuan Wu, Ting Yao, Yanwei Fu, Yu-Gang Jiang · 2017
  35. Dynamic Video Segmentation Network
    Yu-Syuan Xu, Tsu-Jui Fu, Hsuan-Kung Yang, Chun‐Yi Lee · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  36. Deep Learning From Noisy Image Labels With Quality Embedding
    Jiangchao Yao, Jiajie Wang, Ivor Wai-Hung Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang · 2018 · IEEE Transactions on Image Processing
  37. The evolution of object detection methods
    Yibo Sun, Zhe Sun, Weitong Chen · 2024 · Engineering Applications of Artificial Intelligence
  38. Image region description using orthogonal combination of local binary patterns enhanced with color information
    Chao Zhu, Charles‐Edmond Bichot, Liming Chen · 2013 · Pattern Recognition
  39. Occlusion Patterns for Object Class Detection
    Bojan Pepikj, Michael M. Stark, Peter Gehler, Bernt Schiele · 2013 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  40. Ensemble Knowledge Transfer for Semantic Segmentation
    Ishan Nigam, Chen Huang, Deva Ramanan · 2018 · IEEE Winter Conference on Applications of Computer Vision
  41. Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
    Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez‐Granda · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  42. Understanding the coverage and scalability of place-centric crowdsensing
    Yohan Chon, Nicholas D. Lane, Yunjong Kim, Feng Zhao, Hojung Cha · 2013 · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)
  43. L1-Norm Distance Linear Discriminant Analysis Based on an Effective Iterative Algorithm
    Qiaolin Ye, Jian Jun Yang, Fan Liu, Chunxia Zhao, Ning Ye, Tongming Yin · 2016 · IEEE Transactions on Circuits and Systems for Video Technology
  44. Ship detection for visual maritime surveillance from non-stationary platforms
    Yang Zhang, Qingzhong Li, Zang Feng-ni · 2017 · Ocean Engineering
  45. Multi-scale deep context convolutional neural networks for semantic segmentation
    Quan Zhou, Wenbing Yang, Guangwei Gao, Weihua Ou, Huimin Lu, Jie Chen, Longin Jan Latecki · 2018 · World Wide Web
  46. Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
    Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  47. Scene Semantic Recognition Based on Modified Fuzzy C-Mean and Maximum Entropy Using Object-to-Object Relations
    Ahmad Jalal, Abrar Ahmed, Adnan Ahmed Rafique, Kibum Kim · 2021 · IEEE Access
  48. ImageNet Auto-Annotation with Segmentation Propagation
    Matthieu Guillaumin, Daniel Kuettel, Vittorio Ferrari · 2014 · International Journal of Computer Vision
  49. Multi-view to Novel View: Synthesizing Novel Views With Self-learned Confidence
    Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, Joseph J. Lim · 2018 · Lecture notes in computer science
  50. Zigzag Learning for Weakly Supervised Object Detection
    Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong, Qi Tian · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  51. Light Field Saliency Detection With Deep Convolutional Networks
    Jun Zhang, Yamei Liu, Shengping Zhang, Ronald W. Poppe, Meng Wang · 2020 · IEEE Transactions on Image Processing
  52. MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?
    Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljoša Ošep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  53. Ship detection with deep learning: a survey
    M. Er, Yani Zhang, Jie Chen, Wenxiao Gao · 2023 · Artificial Intelligence Review
  54. Training Object Class Detectors from Eye Tracking Data
    Dim P. Papadopoulos, Alasdair D. F. Clarke, Frank Keller, Vittorio Ferrari · 2014 · Lecture notes in computer science
  55. 1D CNN with BLSTM for automated classification of fixations, saccades, and smooth pursuits
    Mikhail Startsev, Ioannis Agtzidis, Michael Dörr · 2018 · Behavior Research Methods
  56. Blind Estimation of Blur Kernels and Parameters from a Single Image
    Ruomei Yan, Ling Shao · 2016 · IEEE Transactions on Image Processing
  57. Towards Image Understanding from Deep Compression without Decoding
    Robert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool · 2018 · Lirias
  58. Aggregation Cross-Entropy for Sequence Recognition
    Zecheng Xie, Yao‐Xiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  59. Probabilistic Object Detection: Definition and Evaluation
    David Hall, Feras Dayoub, John Skinner, Haoyang Zhang, Dimity Miller, Peter Corke, Gustavo Carneiro, Anelia Angelova, Niko Sünderhauf · 2020 · IEEE Winter Conference on Applications of Computer Vision
  60. Semantic Correspondence as an Optimal Transport Problem
    Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  61. Video Representation Learning by Recognizing Temporal Transformations
    Simon Jenni, Givi Meishvili, Paolo Favaro · 2020 · Lecture notes in computer science
  62. MARIDA: A benchmark for Marine Debris detection from Sentinel-2 remote sensing data
    Katerina Kikaki, Ioannis Kakogeorgiou, Paraskevi Mikeli, Dionysios Ε. Raitsos, Konstantinos G. Karantzalos · 2022 · PLoS ONE
  63. Detecting Surgical Tools by Modelling Local Appearance and Global Shape
    David Bouget, Rodrigo Benenson, Mohamed Omran, Laurent Riffaud, Bernt Schiele, Pierre Jannin · 2015 · IEEE Transactions on Medical Imaging
  64. A review of research on object detection based on deep learning
    Jun Deng, Xiaojing Xuan, Weifeng Wang, Li Zhao, Hanwen Yao, Zhiqiang Wang · 2020 · Journal of Physics Conference Series
  65. Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection
    Wang, Keze, Yan, Xiaopeng, Zhang, Dongyu, Zhang, Lei, Lin, Liang · 2018 · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  66. A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis
    Alzayat Saleh, Issam Laradji, Dmitry A. Konovalov, Bradley, Michael, David Vázquez, Marcus J. Sheaves · 2020 · ResearchOnline - JCU (James Cook University)
  67. Universal-Prototype Enhancing for Few-Shot Object Detection
    Aming Wu, Yahong Han, Linchao Zhu, Yi Yang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  68. Learning Spherical Convolution for Fast Features from 360° Imagery
    Yu-Chuan Su, Kristen Lorraine Grauman · 2017 · arXiv (Cornell University)
  69. Joint Learning of Saliency Detection and Weakly Supervised Semantic Segmentation
    Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang · 2019 · arXiv (Cornell University)
  70. Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
    Qiao, Siyuan, Wang, Huiyu, Liu, Chenxi, Shen, Wei, Yuille, Alan · 2019 · arXiv
  71. Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
    Hao-Shu Fang, Guansong Lu, Xiaolin Fang, Jianwen Xie, Yu‐Wing Tai, Cewu Lu · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  72. Object Counting and Instance Segmentation With Image-Level Supervision
    Hisham Cholakkal, Guolei Sun, Fahad Shahbaz Khan, Ling Shao · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  73. Context-aware Feature Generation For Zero-shot Semantic Segmentation
    Zhangxuan Gu, Siyuan Zhou, Li Niu, Zihan Zhao, Liqing Zhang · 2020 · ACM International Conference on Multimedia (ACM MM)
  74. Semi-supervised Segmentation Based on Error-Correcting Supervision
    Robert Mendel, Luis Antonio de Souza Jr, David Rauber, João Paulo Papa, Christoph Palm · 2020 · Lecture notes in computer science
  75. TPH-YOLOv5++: Boosting Object Detection on Drone-Captured Scenarios with Cross-Layer Asymmetric Transformer
    Qi Zhao, Binghao Liu, Shuchang Lyu, Chunlei Wang, Hong Zhang · 2023 · Remote Sensing
  76. SegSort: Segmentation by Discriminative Sorting of Segments
    Hwang, Jyh-Jing, Yu, Stella, Shi, Jianbo, Collins, Maxwell, Yang, Tien-Ju, Zhang, Xiao, Chen, Liang-Chieh · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
  77. Predicting Failures of Vision Systems
    Peng Zhang, Jiuling Wang, Ali Farhadi, Martial Hebert, Devi Parikh · 2014 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  78. DeepProposal: Hunting Objects by Cascading Deep Convolutional Layers
    Amir Ghodrati, Ali Diba, Marco Pedersoli, Tinne Tuytelaars, Luc Van Gool · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)
  79. Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects
    Amirul Islam, Mahmoud Kalash, Neil D. B. Bruce · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  80. Faster-YOLO: An accurate and faster object detection method
    Yunhua Yin, Huifang Li, Wei Fu · 2020 · Digital Signal Processing
  81. A novel deep learning‐based method for detection of weeds in vegetables
    Xiaojun Jin, Yanxia Sun, Jun Che, Muthukumar Bagavathiannan, Jialin Yu, Yong Chen · 2022 · Pest Management Science
  82. Recent progress in transformer-based medical image analysis
    Zhaoshan Liu, Qiujie Lv, Ziduo Yang, Yifan Li, Chau Hung Lee, Lei Shen · 2023 · Computers in Biology and Medicine
  83. Metrics for performance evaluation of elliptic extended object tracking methods
    Shishan Yang, Marcus Baum, Karl Granström · 2016 · IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
  84. Query-Guided Regression Network with Context Policy for Phrase Grounding
    Kan Chen, Rama Kovvuri, Ram Nevatia · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  85. A Large Chinese Text Dataset in the Wild
    Tailing Yuan, Zhe Zhu, Kun Xu, LI Cheng-jun, Tai‐Jiang Mu, Shi‐Min Hu · 2019 · Journal of Computer Science and Technology
  86. Learning Deep Gradient Descent Optimization for Image Deconvolution
    Dong Gong, Zhen Zhang, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Yanning Zhang · 2020 · IEEE Transactions on Neural Networks and Learning Systems
  87. Multi-Modal Feature Pyramid Transformer for RGB-Infrared Object Detection
    Yao-Hui Zhu, Xiaoyu Sun, Miao Wang, Hua Huang · 2023 · IEEE transactions on intelligent transportation systems (Print)
  88. Lucid Data Dreaming for Video Object Segmentation
    Anna Khoreva, Rodrigo Benenson, Eddy Ilg, Thomas Brox, Bernt Schiele · 2019 · International Journal of Computer Vision
  89. A Systematic Review of Drone Based Road Traffic Monitoring System
    Bisio, Igor, Garibotto, Chiara, Haleem, Halar, Lavagetto, Fabio, Sciarrone, Andrea · 2022 · IEEE Access
  90. ATRW: A Benchmark for Amur Tiger Re-identification in the Wild
    Li, Shuyuan, Li, Jianguo, Tang, Hanlin, Qian, Rui, Lin, Weiyao · 2020 · Proceedings of the 28th ACM International Conference on Multimedia
  91. Real World Object Detection Dataset for Quadcopter Unmanned Aerial Vehicle Detection
    Pawelczyk, Maciej L., Wojtyra, Marek · 2020 · IEEE Access
  92. Learning Open-World Object Proposals Without Learning to Classify
    Dahun Kim, Tsung-Yi Lin, Anelia Angelova, In So Kweon, Weicheng Kuo · 2022 · IEEE Robotics and Automation Letters
  93. Deep learning-based detection of aluminum casting defects and their types
    İsmail Enes Parlak, Erdal Emel · 2022 · Engineering Applications of Artificial Intelligence
  94. An Appraisal of Incremental Learning Methods
    Luo, Yong, Yin, Liancheng, Bai, Wenchao, Mao, Keming · 2020 · Entropy
  95. Learning for Structured Prediction Using Approximate Subgradient Descent with Working Sets
    Aurélien Lucchi, Yunpeng Li, Pascal Fua · 2013 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  96. Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation
    Beomyoung Kim, SangEun Han, Junmo Kim · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
  97. Image Segmentation by Cascaded Region Agglomeration
    Zhile Ren, Gregory Shakhnarovich · 2013 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  98. Conditional Graphical Lasso for Multi-label Image Classification
    Qiang Li, Maoying Qiao, Wei Bian, Dacheng Tao · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  99. How Hard Can It Be? Estimating the Difficulty of Visual Search in an Image
    Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu, Marius Popescu, Dim P. Papadopoulos, Vittorio Ferrari · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  100. Joint Object and Part Segmentation Using Deep Learned Potentials
    Peng Wang, Xiaohui Shen, Zhe Lin, Scott D. Cohen, Brian L. Price, Alan Yuille · 2015 · IEEE/CVF International Conference on Computer Vision (ICCV)