The Pascal Visual Object Classes Challenge: A Retrospective

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Items 201–300 of 1,017

1. Playing for Benchmarks
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2. UAVid: A semantic segmentation dataset for UAV imagery
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3. Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network
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4. Mixed local channel attention for object detection
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5. Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
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6. MODEC: Multimodal Decomposable Models for Human Pose Estimation
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7. Deformable part models are convolutional neural networks
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8. ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
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9. Lending A Hand: Detecting Hands and Recognizing Activities in Complex Egocentric Interactions
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10. Paraphrasing Complex Network: Network Compression via Factor Transfer
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11. DAPs: Deep Action Proposals for Action Understanding
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12. FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding
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13. Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection
    Cheng, Gong, Han, Junwei, Zhou, Peicheng, Xu, Dong · 2019 · IEEE Transactions on Image Processing
14. Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision
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15. PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
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16. From generic to specific deep representations for visual recognition
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17. RLBench: The Robot Learning Benchmark & Learning Environment
    James, Stephen, Ma, Zicong, Arrojo, David Rovick, Davison, Andrew J. · 2020 · IEEE Robotics and Automation Letters
18. Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
    Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael Alexander Riegler, Pål Halvorsen · 2021 · IEEE Access
19. Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
    Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt · 2020 · Lecture notes in computer science
20. Multi-scale Positive Sample Refinement for Few-Shot Object Detection
    Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang · 2020 · Lecture notes in computer science
21. Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
    Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre · 2017 · Lecture notes in computer science
22. Multi-Adversarial Faster-RCNN for Unrestricted Object Detection
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23. Meta-Learning to Detect Rare Objects
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24. From BoW to CNN: Two Decades of Texture Representation for Texture Classification
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25. Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
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26. ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases
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27. Image fire detection algorithms based on convolutional neural networks
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28. In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
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29. MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
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30. Imbalanced Deep Learning by Minority Class Incremental Rectification
    Qi Dong, Shaogang Gong, Xiatian Zhu · 2018 · IEEE Transactions on Pattern Analysis and Machine Intelligence
31. Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer
    Roshan A. Welikala, Paolo Remagnino, Jian Han Lim, Chee Seng Chan, Senthilmani Rajendran, Thomas George Kallarakkal, Rosnah Binti Zain, Ruwan Duminda Jayasinghe, Jyotsna Rimal, Alexander Ross Kerr et al. · 2020 · IEEE Access
32. End-to-End Training of Object Class Detectors for Mean Average Precision
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33. Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark
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34. Annotating Object Instances with a Polygon-RNN
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35. Normalized Cut Loss for Weakly-Supervised CNN Segmentation
    Meng Tang, Abdelaziz Djelouah, Federico Perazzi, Yuri Y. Boykov, Christopher Schroers · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
36. Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
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37. Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery
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38. COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
    Andreas Veit, Tomas Matera, Lukáš Neumann, Jiri Matas, Serge J. Belongie · 2016 · arXiv.org
39. Viewpoints and keypoints
    Shubham Tulsiani, 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
40. Squeeze-and-Attention Networks for Semantic Segmentation
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41. Comparative analysis of deep learning image detection algorithms
    Shrey Srivastava, Amit Vishvas Divekar, Chandu Anilkumar, Ishika Naik, Ved Kulkarni, V. Pattabiraman · 2021 · Journal Of Big Data
42. Modeling the Background for Incremental Learning in Semantic Segmentation
    Fabio Cermelli, Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci, Barbara Caputo B · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
43. Causal Intervention for Weakly-Supervised Semantic Segmentation
    Zhang, Dong, Zhang, Hanwang, Tang, Jinhui, Hua, Xiansheng, Sun, Qianru · 2020 · arXiv
44. WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation
    Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
45. Scaling and Benchmarking Self-Supervised Visual Representation Learning
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46. Computer vision algorithms and hardware implementations: A survey
    Xin Feng, Youni Jiang, Xuejiao Yang, Ming Du, Xin Shane Li · 2019 · Integration
47. ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction
    Zheng Huang, Kai Chen, Jian-Hua He, Xiang Bai, Dimosthenis Karatzas, Shi-Jian Lu, C. Jawahar · 2019 · IEEE International Conference on Document Analysis and Recognition
48. RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection
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49. Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
    Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
50. 50 Years of object recognition: Directions forward
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51. A Fast Detection Method via Region‐Based Fully Convolutional Neural Networks for Shield Tunnel Lining Defects
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52. Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
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53. PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments
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54. Artificial Intelligence for Surgical Safety
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55. SCSA: Exploring the synergistic effects between spatial and channel attention
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56. A Normalized Gaussian Wasserstein Distance for Tiny Object Detection
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57. Deep Filter Banks for Texture Recognition, Description, and Segmentation
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58. Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors
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59. Object-Centric Learning with Slot Attention
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60. Semi-supervised semantic segmentation needs strong, varied perturbations
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61. Deep learning-based waste detection in natural and urban environments
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62. DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications
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63. MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation
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64. MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network
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65. Classes Matter: A Fine-Grained Adversarial Approach to Cross-Domain Semantic Segmentation
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66. Regionlets for Generic Object Detection
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67. Domain Adaptation for Semantic Segmentation With Maximum Squares Loss
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68. Hypercorrelation Squeeze for Few-Shot Segmenation
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69. Polarized self-attention: Towards high-quality pixel-wise mapping
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70. Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
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71. Generative adversarial network for road damage detection
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72. Learning Visual Features from Large Weakly Supervised Data
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73. Conditional Generative Adversarial Network for Structured Domain Adaptation
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74. Object Detection Using Convolutional Neural Networks
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75. Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
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76. Feature Pyramid Transformer
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77. Taking a deeper look at pedestrians
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78. Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges
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79. Remote Sensing Object Detection in the Deep Learning Era—A Review
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80. YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems
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81. DensePose: Dense Human Pose Estimation in the Wild
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82. Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
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83. Superpixel Sampling Networks
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84. Image super-resolution: A comprehensive review, recent trends, challenges and applications
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85. Functional Map of the World
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86. Weakly Supervised Instance Segmentation Using Class Peak Response
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87. EuroCity Persons: A Novel Benchmark for Person Detection in Traffic Scenes
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88. Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
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89. Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3
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90. YOLO-face: a real-time face detector
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91. HICO: A Benchmark for Recognizing Human-Object Interactions in Images
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92. Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
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93. Recent advances on image edge detection: A comprehensive review
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94. Computer vision framework for crack detection of civil infrastructure—A review
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95. Infinite Feature Selection
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96. Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1
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97. NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
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98. Self-supervised model adaptation for multimodal semantic segmentation
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99. Large-Scale Video Summarization Using Web-Image Priors
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100. RELLIS-3D Dataset: Data, Benchmarks and Analysis
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