The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

Cited by (1,001)

Items 401–500 of 1,001

1. Saliency Heat-Map as Visual Attention for Autonomous Driving Using Generative Adversarial Network (GAN)
   Fahad Lateef, Mohamed Kas, Yassine Ruichek · 2021 · IEEE Transactions on Intelligent Transportation Systems
2. Scale variance minimization for unsupervised domain adaptation in image segmentation
   Dayan Guan, Jiaxing Huang, Shijian Lu, Aoran Xiao · 2020 · Pattern Recognition
3. Text to Image Synthesis for Improved Image Captioning
   Md Zakir Hossain, Ferdous Ahmed Sohel, Mohd Fairuz Shiratuddin, Hamid Laga, Mohammed Bennamoun · 2021 · IEEE Access
4. DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map
   Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
5. Affinity Space Adaptation for Semantic Segmentation Across Domains
   Wei Zhou, Yukang Wang, Jiajia Chu, Jiehua Yang, Xiang Bai, Yongchao Xu · 2020 · IEEE Transactions on Image Processing
6. Defect Detection and Classification by Training a Generic Convolutional Neural Network Encoder
   Xinghui Dong, Chris Taylor, Tim F. Cootes · 2020 · IEEE Transactions on Signal Processing
7. Multi-modal remote perception learning for object sensory data
   Nouf Abdullah Almujally, Adnan Ahmed Rafique, Naif Al Mudawi, Abdulwahab Alazeb, Mohammed Alonazi, Asaad M. Algarni, Ahmad Jalal, Hui Liu · 2024 · Frontiers in Neurorobotics
8. Multi-task, multi-domain learning: Application to semantic segmentation and pose regression
   Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf · 2017 · Neurocomputing
9. Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
   Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
10. Multi-Modal Fusion Technology Based on Vehicle Information: A Survey
    Xinyu Zhang, Yan Gong, Jianli Lu, Jiayi Wu, Zhiwei Li, Dafeng Jin, Jun Li · 2023 · IEEE Transactions on Intelligent Vehicles
11. Focus on Semantic Consistency for Cross-Domain Crowd Understanding
    Tao Han, Junyu Gao, Yuan Yuan, Qi Wang · 2020 · IEEE International Conference on Acoustics Speech and Signal Processing
12. Domain Generalization in Vision: A Survey
    Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, Chen Change Loy · 2021 · arXiv (Cornell University)
13. SynWoodScape: Synthetic Surround-View Fisheye Camera Dataset for Autonomous Driving
    Ahmed Rida Sekkat, Yohan Dupuis, Varun Ravi Kumar, Hazem Rashed, Senthil Kumar Yogamani, Pascal Vasseur, Paul Honeiné · 2022 · IEEE Robotics and Automation Letters
14. DIRL: Domain-Invariant Representation Learning for Generalizable Semantic Segmentation
    Qi Xu, Liang Yao, Zhengkai Jiang, Guannan Jiang, Wenqing Chu, Wen-Hui Han, Wěi Zhāng, Chengjie Wang, Ying Yu Tai · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
15. Curriculum-Style Local-to-Global Adaptation for Cross-Domain Remote Sensing Image Segmentation
    Bo Zhang, Tao Chen, Bin Wang · 2021 · IEEE Transactions on Geoscience and Remote Sensing
16. Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
    Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh · 2020 · IEEE Transactions on Intelligent Vehicles
17. CoMoGAN: continuous model-guided image-to-image translation
    Fabio Pizzati, Pietro Cerri, Raoul de Charette · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
18. Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization
    Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
19. MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
    Inkyu Shin, Yi–Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk‐Jin Yoon · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
20. Omnisupervised Omnidirectional Semantic Segmentation
    Kailun Yang, Xinxin Hu, Yicheng Fang, Kaiwei Wang, Rainer Stiefelhagen · 2020 · IEEE Transactions on Intelligent Transportation Systems
21. Identifying the Operational Design Domain for an Automated Driving System through Assessed Risk
    Chung Won Lee, Nasif Nayeer, Danson Evan Garcia, Ankur Kumar Agrawal, Bingbing Liu · 2020 · IEEE Intelligent Vehicles Symposium
22. Context-Aware Domain Adaptation in Semantic Segmentation
    Jinyu Yang, Weizhi An, Chaochao Yan, Peilin Zhao, Junzhou Huang · 2021 · IEEE Winter Conference on Applications of Computer Vision
23. Multi-Anchor Active Domain Adaptation for Semantic Segmentation
    Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
24. Optimising realism of synthetic images using cycle generative adversarial networks for improved part segmentation
    R. Barth, Jochen Hemming, Eldert J. Van Henten · 2020 · Computers and Electronics in Agriculture
25. DASGIL: Domain Adaptation for Semantic and Geometric-Aware Image-Based Localization
    Hanjiang Hu, Zhijian Qiao, Ming Cheng, Zhe Liu, Hesheng Wang · 2020 · IEEE Transactions on Image Processing
26. 3D Simulation for Robot Arm Control with Deep Q-Learning
    Stephen James, Edward Johns · 2016 · arXiv (Cornell University)
27. A One-Stage Domain Adaptation Network With Image Alignment for Unsupervised Nighttime Semantic Segmentation
    Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
28. NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night
    Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
29. Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving
    Ambati Pravallika, Mohammad Farukh Hashmi, Aditya Dinesh Gupta · 2024 · IEEE Access
30. Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images
    Fu-Jen Chu, Ruinian Xu, Patricio Antonio Vela · 2019 · IEEE Robotics and Automation Letters
31. BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving
    Jianru Xue, Jianwu Fang, Tao Li, Bohua Zhang, Pu Zhang, Zhen Ye, Jian Dou · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
32. Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation
    Ayşegül Dündar, Ming-Yu Liu, Ting-Chun Wang, John Zedlewski, Jan Kautz · 2018 · arXiv (Cornell University)
33. Unsupervised Monocular Depth Estimation for Night-Time Images Using Adversarial Domain Feature Adaptation
    Madhu Babu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera · 2020 · Lecture notes in computer science
34. MCNet: Multi-level Correction Network for thermal image semantic segmentation of nighttime driving scene
    Haitao Xiong, Wenjie Cai, Qiong Liu · 2021 · Infrared Physics & Technology
35. Semantic segmentation of outdoor panoramic images
    Semih Orhan, Yalın Baştanlar · 2021 · Signal Image and Video Processing
36. HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
    Jian Jun Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
37. Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization
    Mengzhu Wang, Yuehua Liu, Jianlong Yuan, Shanshan Wang, Zhibin Wang, Wei William Wang · 2024 · IEEE Transactions on Image Processing
38. SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation
    Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
39. Semantic Line Detection and Its Applications
    Jun-Tae Lee, Hanul Kim, Chul Lee, Chang‐Su Kim · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
40. Partial Domain Adaptation on Semantic Segmentation
    Yingjie Tian, Siyu Zhu · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
41. Semantic Image Segmentation: Two Decades of Research
    Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii · 2022 · Foundations and Trends® in Computer Graphics and Vision
42. Machine learning based decision making for time varying systems: Parameter estimation and performance optimization
    Yiyang Chen, Yingwei Zhou · 2020 · Knowledge-Based Systems
43. Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives
    Rizzoli, Giulia, Barbato, Francesco, Zanuttigh, Pietro · 2022 · Technologies
44. LiDAR-Aug: A General Rendering-based Augmentation Framework for 3D Object Detection
    Jin Fang, Xinxin Zuo, Dingfu Zhou, Shengze Jin, Sen Wang, Liangjun Zhang · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
45. Addressing materials’ microstructure diversity using transfer learning
    Aurèle Goetz, Ali Riza Durmaz, Martin Johannes Müller, Akhil Thomas, Dominik Britz, Pierre Kerfriden, Christoph Eberl · 2022 · npj Computational Materials
46. Quality assurance for building components through point cloud segmentation leveraging synthetic data
    Hao Xuan Zhang, Zhengbo Zou · 2023 · Automation in Construction
47. TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts
    Ziyang Hong, Yvan Pétillot, David M. Lane, Yishu Miao, Sen Wang · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
48. ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles
    Xuan Li, Yutong Wang, Lan Yan, Kunfeng Wang, Fang Yi Deng, Fei–Yue Wang · 2019 · IEEE Transactions on Vehicular Technology
49. Simplified unsupervised image translation for semantic segmentation adaptation
    Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau−San Wong · 2020 · Pattern Recognition
50. From Classical Machine Learning to Deep Neural Networks: A Simplified Scientometric Review
    Ravil I. Mukhamediev, Адилхан Сымагулов, Yan I. Kuchin, Kirill Yakunin, Marina Yelis · 2021 · Applied Sciences
51. Style Projected Clustering for Domain Generalized Semantic Segmentation
    Wei Huang, Chang Chen, Yongbo Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
52. Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation
    Devaranjan, Jeevan, Kar, Amlan, Fidler, Sanja · 2020 · Lecture Notes in Computer Science
53. Deep Hierarchical Representation of Point Cloud Videos via Spatio-Temporal Decomposition
    Hehe Fan, Xin Yu, Yi Yang, Mohan Kankanhalli · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
54. Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
    Qi Bi, Shaodi You, Theo Gevers · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
55. OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
    Changhee Won, Jongbin Ryu, Jongwoo Lim · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
56. IDDA: A Large-Scale Multi-Domain Dataset for Autonomous Driving
    Emanuele Alberti, Antonio Tavera, Carlo Masone, Barbara Caputo B · 2020 · IEEE Robotics and Automation Letters
57. Confidence Estimation via Auxiliary Models
    Charles Corbière, Nicolas Thome, Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
58. Unsupervised Model Adaptation for Continual Semantic Segmentation
    Serban Stan, Mohammad Ghomi Rostami · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
59. DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation
    Xin Lai, Zhuotao Tian, Xiaogang Xu, Ying-Cong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia · 2022 · Lecture notes in computer science
60. ADPL: Adaptive Dual Path Learning for Domain Adaptation of Semantic Segmentation
    Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Wenqiang Zhang · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
61. Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
    Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen‐mei Hwu, Thomas S. Huang, Honghui Shi · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
62. A Survey of Image Synthesis Methods for Visual Machine Learning
    Apostolia Tsirikoglou, Gabriel Eilertsen, Jonas Unger · 2020 · Computer Graphics Forum
63. SynthCity: A large scale synthetic point cloud
    Griffiths, David, Jan Boehm · 2019 · arXiv (Cornell University)
64. Slanted Stixels: Representing San Francisco's Steepest Streets
    Hernandez-Juarez, Daniel, Schneider, Lukas, Espinosa, Antonio, Moure, Juan, Vazquez, David, López, Antonio, Franke, Uwe, Pollefeys, Marc · 2017 · Procedings of the British Machine Vision Conference 2017
65. Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
    João Filipe Ferreira, David Portugal, Maria Eduarda Andrada, Pedro Machado, Rui Paulo Rocha, Paulo Peixoto · 2023 · Robotics
66. Multi-Modal Sensor Fusion-Based Semantic Segmentation for Snow Driving Scenarios
    Vachmanus, Sirawich, Ravankar, Ankit A., Emaru, Takanori, Kobayashi, Yukinori · 2021 · IEEE Sensors Journal
67. Out-of-Domain Generalization From a Single Source: An Uncertainty Quantification Approach
    Xi Peng, Fengchun Qiao, Long Zhao · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
68. Domain Adaptive Semantic Segmentation without Source Data
    Fuming You, Jingjing Li, Lei Zhu, Zhi Chen, Zi Helen Huang · 2021 · ACM International Conference on Multimedia (ACM MM)
69. A survey on RGB-D datasets
    Alexandre Lopes, Roberto Medeiros de Souza, Hélio Pedrini · 2022 · Computer Vision and Image Understanding
70. Learning to Map Vehicles into Bird’s Eye View
    Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, Rita Cucchiara · 2017 · Lecture notes in computer science
71. GAN-Based virtual-to-real image translation for urban scene semantic segmentation
    Xi Juan Guo, Zhicheng Wang, Qin Yang, Weifeng Lv, Xianglong Liu, Qiong Wu, Jian Huang · 2019 · Neurocomputing
72. Learning to detect anomaly events in crowd scenes from synthetic data
    Wei Lin, Junyu Gao, Yanyan Wang, Xuelong Li · 2021 · Neurocomputing
73. Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training
    Yang Zou, Zhiding Yu, B. V. K. Vijaya Kumar, Jinsong Wang · 2018 · arXiv (Cornell University)
74. Using Synthetic Data to Improve and Evaluate the Tracking Performance of Construction Workers on Site
    Marcel Neuhausen, Patrick Herbers, Markus König · 2020 · Applied Sciences
75. Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation
    Zhedong Zheng, Yi Yang · 2022 · IEEE Transactions on Image Processing
76. Efficient High-Resolution Deep Learning: A Survey
    Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis · 2024 · ACM Computing Surveys
77. Indoor Semantic Segmentation for Robot Navigating on Mobile
    Wonsuk Kim, Junhee Seok · 2018 · International Conference on Ubiquitous and Future Networks
78. A deep network for tissue microstructure estimation using modified LSTM units
    Chuyang Ye, Xiuli Li, Jingnan Chen · 2019 · Medical Image Analysis
79. Neutral Cross-Entropy Loss Based Unsupervised Domain Adaptation for Semantic Segmentation
    Hanqing Xu, Ming Zhu Yang, Liuyuan Deng, Yeqiang Qian, Chunxiang Wang · 2021 · IEEE Transactions on Image Processing
80. Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes
    Matteo Biasetton, Umberto Michieli, Gianluca Agresti, Pietro Zanuttigh · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
81. Innovative synthetic data augmentation for dam crack detection, segmentation, and quantification
    Jia Xu, Cheng Yuan, Jiaxuan Gu, Jian Liu, Jiong An, Qingzhao Kong · 2022 · Structural Health Monitoring
82. StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
    Rui Zhou Zhenzhen Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, Hongsheng Li · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
83. CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation
    Tao Lu, Limin Wang, Gangshan Wu · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
84. Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum
    Zhengyang Feng, Qianyu Zhou, Guangliang Cheng, Xin Tan, Jianping Shi, Lizhuang Ma · 2020 · arXiv (Cornell University)
85. SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving
    Swarnendu Ghosh, Anisha Pal, Shourya Jaiswal, KC Santosh, Nibaran Das, Mita Nasipuri · 2019 · International Journal of Machine Learning and Cybernetics
86. Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
    Jiahua Dong, Yang Cong, Gan Sun, Dongdong Hou · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
87. End-to-End Learning for Omnidirectional Stereo Matching With Uncertainty Prior
    Changhee Won, Jongbin Ryu, Jongwoo Lim · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
88. Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
    Marco Toldo, Umberto Michieli, Pietro Zanuttigh · 2021 · IEEE Winter Conference on Applications of Computer Vision
89. Facial-sketch Synthesis: A New Challenge
    Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool · 2022 · Machine Intelligence Research
90. Recent Advances and Perspectives in Deep Learning Techniques for 3D Point Cloud Data Processing
    Zifeng Ding, Yuxuan Sun, Sijin Xu, Yan Pan, Yanhong Peng, Zebing Mao · 2023 · Robotics
91. DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
    Fengyi Shen, Akhil Gurram, Ziyuan Liu, He Wang, Alois Knoll · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
92. Source-Free Unsupervised Domain Adaptation: Current research and future directions
    Ningyuan Zhang, Jie Lu B, Keqiuyin Li, Zhen Fang, Guangquan Zhang · 2023 · Neurocomputing
93. Show, Attend, and Translate: Unsupervised Image Translation With Self-Regularization and Attention
    Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo · 2019 · IEEE Transactions on Image Processing
94. An Alternative of LiDAR in Nighttime: Unsupervised Depth Estimation Based on Single Thermal Image
    Yawen Lu, Guoyu Lu · 2021 · IEEE Winter Conference on Applications of Computer Vision
95. Corroded Bolt Identification Using Mask Region-Based Deep Learning Trained on Synthesized Data
    Quoc-Bao Ta, Thanh‐Canh Huynh, Quang‐Quang Pham, Jeong‐Tae Kim · 2022 · Sensors
96. Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation
    Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Licheng Jiao · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
97. Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
    Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee · 2023 · International Journal of Computer Vision
98. Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
    Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
99. Learning From Synthetic Images via Active Pseudo-Labeling
    Liangchen Song, Yonghao Xu, Lefei Zhang, Bo Du, Qian Zhang, Xinggang Wang · 2020 · IEEE Transactions on Image Processing
100. Unsupervised Learning of Optical Flow With CNN-Based Non-Local Filtering
     Long Tian, Zhigang Tu, Dejun Zhang, Jun Liu, Baoxin Li, Junsong Yuan · 2020 · IEEE Transactions on Image Processing