The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
Ros, German, Sellart, Laura, Materzynska, Joanna, Vazquez, David, Lopez, Antonio M.·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Cited by (1,001)
Items 801–900 of 1,001
- Learning to Learn from Web Data Through Deep Semantic EmbeddingsRaúl Gómez, Lluís Gómez, Jaume Gibert, Dìmosthenis Karatzas · 2019 · Lecture notes in computer science
- Traffic Participants in the Loop: A Mixed Reality-Based Interaction Testbed for the Verification and Validation of Autonomous VehiclesMarc René Zofka, Stefan Ulbrich, Daniel Karl, Tobias Fleck, Ralf Kohlhaas, Arne Roennau, Rüdiger Dillmann, J. Marius Zöllner · 2018 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
- A Framework for Self-Training Perceptual Agents in Simulated Photorealistic EnvironmentsPatrick Mania, Michael Beetz · 2019 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- PHASE: PHysically-grounded Abstract Social Events for Machine Social PerceptionAviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum · 2021 · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))
- Parallel Point Clouds: Hybrid Point Cloud Generation and 3D Model Enhancement via Virtual–Real IntegrationYonglin Tian, Xiao Wang, Yu Shen, Zhongzheng Guo, Zilei Wang, Fei–Yue Wang · 2021 · Remote Sensing
- Self-Supervised Real-to-Sim Scene GenerationAayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan T. Birchfield, Marc T. Law · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- LiDAR Depth Completion Using Color-Embedded Information via Knowledge DistillationSangwon Hwang, Junhyeop Lee, Woo Jin Kim, Sungmin Woo, Kyungjae Lee, Sangyoun Lee · 2021 · IEEE Transactions on Intelligent Transportation Systems
- Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional AnnotationsYue Wu, Abraham Olvera‐Barrios, Ryan T. Yanagihara, Timothy-Paul H. Kung, Randy Y. Lu, Irene Leung, Amit Vikram Mishra, Hanan Nussinovitch, Gabriela Grimaldi, Marian S. Blazes et al. · 2022 · Ophthalmology
- Neural-Sim: Learning to Generate Training Data with NeRFYunhao Ge, Harkirat Singh Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet · 2022 · Lecture notes in computer science
- A Novel Framework to Generate Synthetic Video for Foreground Detection in Highway Surveillance ScenariosXuan Li, Haibin Duan, Bingzi Liu, Xiao Wang, Fei–Yue Wang · 2023 · IEEE Transactions on Intelligent Transportation Systems
- Interactive Learning of Intrinsic and Extrinsic Properties for All-Day Semantic SegmentationQi Bi, Shaodi You, Theo Gevers · 2023 · IEEE Transactions on Image Processing
- Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation LearningZhuoyang Zhang, Yuhao Dong, Yunze Liu, Li Yi · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- A defocus and similarity attention-based cascaded network for multi-focus and misaligned image fusionPeiming Chen, Jiaqin Jiang, Li Li, Jian Yao · 2023 · Information Fusion
- Prototype Guided Pseudo Labeling and Perturbation-based Active Learning for domain adaptive semantic segmentationJunkun Peng, Mingjie Sun, Eng Gee Lim, Qiufeng Wang, Jimin Xiao · 2023 · Pattern Recognition
- Domain Generalization via Balancing Training Difficulty and Model CapabilityXueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Analyzing Computer Vision Data — The Good, the Bad and the UglyOliver Zendel, Katrin Honauer, Markus Murschitz, Martin Humenberger, Gustavo Fernández Domínguez · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Unlimited Road-scene Synthetic Annotation (URSA) DatasetMatt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven L. Waslander, Krzysztof Czarnecki · 2018 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
- Unsupervised Domain Adaptation in Semantic Segmentation: a ReviewMarco Toldo, Andrea Maracani, Umberto Michieli, Pietro Zanuttigh · 2020 · arXiv (Cornell University)
- Temporal Coherence for Active Learning in VideosZolfaghari Bengar, Javad, Gonzalez-Garcia, Abel, Villalonga, Gabriel, Raducanu, Bogdan, Habibi Aghdam, Hamed, Mozerov, Mikhail, Lopez, Antonio M., van de Weijer, Joost · 2019 · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
- A Curriculum-Style Self-Training Approach for Source-Free Semantic SegmentationYuxi Wang, Jian Liang, Zhaoxiang Zhang · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Sensor-realistic Synthetic Data Engine for Multi-frame High Dynamic Range PhotographyJinhan Hu, Gyeongmin Choe, Zeeshan Nadir, Osama Nabil, Seok-Jun Lee, Hamid R. Sheikh, Youngjun Francis Yoo, Michael O. Polley · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and ImprovementMohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul Fieguth, Alexander K.C. Wong · 2020 · IEEE Signal Processing Magazine
- Deep Learning-Based Frameworks for Semantic Segmentation of Road ScenesHaneen Alokasi, Muhammad Bilal Ahmad · 2022 · Electronics
- Undoing the Damage of Label Shift for Cross-domain Semantic SegmentationYahao Liu, Jinhong Deng, Jiale Tao, Tong Chu, Lixin Duan, Wen Li · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous DisassemblyChengzhi Wu, Xuelei Bi, Julius Pfrommer, Alexander Cebulla, Simon Mangold, Jürgen Beyerer · 2023 · IEEE Winter Conference on Applications of Computer Vision
- An In-Depth Analysis of Domain Adaptation in Computer and Robotic VisionM. Hassan Tanveer, Zainab Fatima, Shehnila Zardari, David A. Guerra-Zubiaga · 2023 · Applied Sciences
- Unsupervised Domain Adaptation Approach for Vision-Based Semantic Understanding of Bridge Inspection Scenes without Manual AnnotationsYasutaka Narazaki, Wendong Pang, Gaoang Wang, Wenhao Chai · 2023 · Journal of Bridge Engineering
- Towards Source-Free Domain Adaptive Semantic Segmentation via Importance-Aware and Prototype-Contrast LearningYihong Cao, Hui Zhang, Xiao Bo Lu, Zheng Xiao, Kailun Yang, Yaonan Wang · 2024 · IEEE Transactions on Intelligent Vehicles
- From 3D point‐cloud data to explainable geometric deep learning: State‐of‐the‐art and future challengesAnna Saranti, Bastian Pfeifer, Christoph Gollob, Karl Stampfer, Andreas Holzinger · 2024 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
- Few-Shot Structured Domain Adaptation for Virtual-to-Real Scene ParsingJunyi Zhang, Ziliang Chen, Junying Huang, Liang Lin, Dongyu Zhang · 2019 · IEEE International Conference on Computer Vision Workshops
- Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-TrainingTeo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
- Testing the Safety of Self-driving Vehicles by Simulating Perception and PredictionKelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun · 2020 · Lecture notes in computer science
- Mixing Real and Synthetic Data to Enhance Neural Network Training -- A Review of Current ApproachesViktor Seib, Lange, Benjamin, Stefan Wirtz · 2020 · arXiv (Cornell University)
- Generating Reality-Analogous Datasets for Autonomous UAV Navigation using Digital Twin AreasThomas Lee, Susan McKeever, Jane Courtney · 2022 · Irish Signals and Systems Conference
- All for one, and one for all: UrbanSyn Dataset, the third Musketeer of synthetic driving scenesJose L. Gómez, M.A.F.M. da Silva, Antonio Seoane, Agnés Borràs, Mario Noriega, Germán Ros, José A. Iglesias-Guitián, Antonio Manuel López · 2025 · Neurocomputing
- Meta-Sim: Learning to Generate Synthetic DatasetsKar, Amlan, Prakash, Aayush, Liu, Ming-Yu, Cameracci, Eric, Yuan, Justin, Rusiniak, Matt, Acuna, David, Torralba, Antonio, Fidler, Sanja · 2019 · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
- Towards Multi-source Adaptive Semantic SegmentationPaolo Russo, Tatiana Tommasi, Barbara Caputo B · 2019 · Lecture notes in computer science
- Automated detection and classification of spilled loads on freeways based on improved YOLO networkSiqi Zhou, Yufeng Bi, Wei Xu, Jiachen Liu, Zixin Ye, Feng Li, Yuchuan Du · 2021 · Machine Vision and Applications
- DA4Event: Towards Bridging the Sim-to-Real Gap for Event Cameras Using Domain AdaptationMirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, A. Bottino, Matteo Matteucci, Barbara Caputo B · 2021 · IEEE Robotics and Automation Letters
- Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic SegmentationAdriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano · 2022 · IEEE Winter Conference on Applications of Computer Vision
- Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style TransferJan-Aike Termöhlen, Marvin Klingner, Leon Johann Brettin, Nico M. Schmidt, Tim Fingscheidt · 2021 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
- Synthetic Data Generation using Imitation TrainingAman Kishore, Tae Eun Choe, Junghyun Kwon, Min-Woo Park, Pengfei Hao, Akshita Mittel · 2021 · IEEE International Conference on Computer Vision Workshops
- Confidence-and-Refinement Adaptation Model for Cross-Domain Semantic SegmentationXiaohong Zhang, Yi Chen, Ziyi Shen, Yuming Shen, Haofeng Zhang, Yudong Zhang · 2022 · IEEE Transactions on Intelligent Transportation Systems
- Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic SegmentationShao-Yuan Lo, Poojan Oza, Sumanth Chennupati, Alejandro Galindo, Vishal M. Patel · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- SynthVSR: Scaling Up Visual Speech RecognitionWith Synthetic SupervisionXubo Liu, Egor Lakomkin, Konstantinos Vougioukas, Pingchuan Ma, Honglie Chen, Ruiming Xie, Morrie Doulaty, Niko Moritz, Jáchym Kolář, Stavros Petridis et al. · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative DiseasesFrancisco J. Martínez-Murcia, J. M. Górriz, Javier Ramı́rez, Ignacio A. Illán, Fermín Segovia, Diego Castillo-Barnés, Diego Salas-Gonzalez · 2017 · Frontiers in Neuroinformatics
- From one to many: Unsupervised traversable area segmentation in off-road environmentLi Tang, Xiaqing Ding, Huan Yin, Yue Wang, Rong Xiong · 2017 · IEEE International Conference on Robotics and Biomimetics (ROBIO)
- Real-time lane marker detection using template matching with RGB-D cameraCong Hoang Quach, Van Lien Tran, Duy Hung Nguyen, Viet Thang Nguyen, Minh-Trien Pham, Manh Duong Phung · 2018 · International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom)
- Learning Residual Flow as Dynamic Motion from Stereo VideosSeokju Lee, Sunghoon Im, Stephen Ching-Feng Lin, In So Kweon · 2019 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Deep Learning for LiDAR Waveforms with Multiple ReturnsAndreas Asmann, Brian D. Stewart, Andrew Michael Wallace · 2020 · European Signal Processing Conference (EUSIPCO)
- Cross-Domain Grouping and Alignment for Domain Adaptive Semantic SegmentationMinsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, Kwanghoon Sohn · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- A Novel Upsampling and Context Convolution for Image Semantic SegmentationKhwaja Monib Sediqi, Hyo Jong Lee · 2021 · Sensors
- Scenic: Language-Based Scene Generation.Daniel J. Fremont, Xiangyu Yue, Tommaso Dreossi, Shromona Ghosh, Alberto Luigi Sangiovanni-Vincentelli, Sanjit Arunkumar Seshia · 2018 · arXiv (Cornell University)
- Textual Query-Driven Mask Transformer for Domain Generalized SegmentationByeonghyun Pak, Byeongju Woo, Sunghwan Kim, Daehwan Kim, Hoseong Kim · 2024 · Lecture notes in computer science
- Single-Shot Analysis of Refractive Shape Using Convolutional Neural NetworksJonathan Dyssel Stets, Zhengqin Li, Jeppe Revall Frisvad, Manmohan Krishna Chandraker · 2019 · IEEE Winter Conference on Applications of Computer Vision
- Self-Supervised Domain Mismatch Estimation for Autonomous PerceptionJonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt · 2020 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Latent Space Regularization for Unsupervised Domain Adaptation in Semantic SegmentationFrancesco Barbato, Marco Toldo, Umberto Michieli, Pietro Zanuttigh · 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- Adversarial Semantic Hallucination for Domain Generalized Semantic SegmentationGabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh · 2022 · IEEE Winter Conference on Applications of Computer Vision
- Autonomous Driving in the Real-World: The Weather Challenge in the Sohjoa Baltic ProjectMauro Bellone, Azat Ismailogullari, Jaanus Müür, Oscar Nissin, Raivo Sell, Ralf-Martin Soe · 2021 · EAI/Springer Innovations in Communication and Computing
- Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class BoundariesAdriano Cardace, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano · 2022 · IEEE Winter Conference on Applications of Computer Vision
- Modeling Cameras for Autonomous Vehicle and Robot Simulation: An OverviewAsher Elmquist, Dan Negruţ · 2021 · IEEE Sensors Journal
- Adversarial Learning Based Discriminative Domain Adaptation for Geospatial Image AnalysisNikhil Makkar, H. Lexie Yang, Saurabh Prasad · 2021 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Simplexity testbed: A model-based digital twin testbedTiexin Wang, Chao Tan, Lei Huang, Yize Shi, Tao Yue, Zhiqiu Huang · 2022 · Computers in Industry
- Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific TransferRobert A. Marsden, Felix Wiewel, Mario Döbler, Yang Yang, Bin Yang · 2022 · International Joint Conference on Neural Networks (IJCNN)
- 2D Image head pose estimation via latent space regression under occlusion settingsJosé Celestino, Manuel Marques, Jacinto C. Nascimento, João Paulo Costeira · 2022 · Pattern Recognition
- Urban Scene Semantic Segmentation with Low-Cost Coarse AnnotationAnurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele · 2023 · IEEE Winter Conference on Applications of Computer Vision
- SemanticFlow: Semantic Segmentation of Sequential LiDAR Point Clouds From Sparse Frame AnnotationsJunhao Zhao, Weijie Huang, Hai Yuan Wu, Chenglu Wen, Bo Yang, Yulan Guo, Cheng Wang · 2023 · IEEE Transactions on Geoscience and Remote Sensing
- A Patch Diversity Transformer for Domain Generalized Semantic SegmentationPei He, Licheng Jiao, Ronghua Shang, Xu Liu, Fang Liu, Shuyuan Yang, Xiangrong Zhang, Shuang Wang · 2023 · IEEE Transactions on Neural Networks and Learning Systems
- Unsupervised Continual Semantic Adaptation Through Neural RenderingZhizheng Liu, Francesco Milano, Jonas Frey, Roland Siegwart, Hermann Blum, César Cadena · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationJungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
- EDAPS: Enhanced Domain-Adaptive Panoptic SegmentationSuman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Preserving Label-Related Domain-Specific Information for Cross-Domain Semantic SegmentationMuxin Liao, Shishun Tian, Yuhang Zhang, Guoguang Hua, Wenbin Zou, Xia Li · 2024 · IEEE Transactions on Intelligent Transportation Systems
- Self-Supervised Learning from Web Data for Multimodal RetrievalRaúl Gómez, Lluís Gómez, Jaume Gibert, Dìmosthenis Karatzas · 2019 · Elsevier eBooks
- Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned RepresentationsSoheil Kolouri, Nicholas Ketz, Andrea Soltoggio, Praveen K. Pilly · 2020 · Loughborough University Research Repository (Loughborough University)
- Biological eagle eye-based method for change detection in water scenesXuan Li, Haibin Duan, Jingchun Li, Yimin Deng, Fei–Yue Wang · 2021 · Pattern Recognition
- A Survey on Deep Learning Methods for Semantic Image Segmentation in Real-TimeGeorgios Takos · 2020 · arXiv (Cornell University)
- The Road to Safety: A Review of Uncertainty and Applications to Autonomous Driving PerceptionBernardo Araújo, João F. Teixeira, Joaquim Fonseca, Ricardo Cerqueira, Sofia C. Beco · 2024 · Entropy
- Simulating the Autonomous Future: A Look at Virtual Vehicle Environments and How to Validate Simulation Using Public Data SetsDean Deter, Chieh Ross Wang, Adian Cook, Nolan Perry · 2020 · IEEE Signal Processing Magazine
- Addressing Domain Gap via Content Invariant Representation for Semantic SegmentationLi Gao, Lefei Zhang, Qian Zhang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- UnityShip: A Large-Scale Synthetic Dataset for Ship Recognition in Aerial ImagesBoyong He, Xianjiang Li, Bo Huang, Enhui Gu, Weijie Guo, Liaoni Wu · 2021 · Remote Sensing
- An embedded toolset for human activity monitoring in critical environmentsMarco Di Benedetto, Fabio Carrara, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Giuseppe M. Amato · 2022 · Expert Systems with Applications
- Exploring Image Generation for UAV Change DetectionXuan Li, Haibin Duan, Yonglin Tian, Fei–Yue Wang · 2022 · IEEE/CAA Journal of Automatica Sinica
- The Bangkok Urbanscapes Dataset for Semantic Urban Scene Understanding Using Enhanced Encoder-Decoder With Atrous Depthwise Separable A1 Convolutional Neural NetworksKitsaphon Thitisiriwech, Teerapong Panboonyuen, Pittipol Kantavat, Yuji Iwahori, Boonserm Kijsirikul · 2022 · IEEE Access
- Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic Segmentation in the WildFabrizio J. Piva, Daan de Geus, Gijs Dubbelman · 2023 · IEEE Winter Conference on Applications of Computer Vision
- Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorZixin Wang, Yadan Luo, Zhi Chen, Sen Wang, Zi Helen Huang · 2023 · ACM International Conference on Multimedia (ACM MM)
- GINA-3D: Learning to Generate Implicit Neural Assets in the WildBokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Applications of Spiking Neural Networks in Visual Place RecognitionSomayeh Hussaini, Michael John Milford, Tobias Fischer · 2024 · IEEE Transactions on Robotics
- Condition-Invariant Semantic SegmentationChristos Sakaridis, David Brüggemann, Fisher Yu, Luc Van Gool · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Synthetic-to-Real Domain Adaptation for Object Instance SegmentationHui Zhang, Yonglin Tian, Kunfeng Wang, Haibo He, Fei–Yue Wang · 2019 · International Joint Conference on Neural Networks (IJCNN)
- Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical ModelsCésar Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio Manuel López · 2019 · International Journal of Computer Vision
- Using synthetic data for person tracking under adverse weather conditionsAbdulrahman Kerim, Ufuk Çelikcan, Erkut Erdem, Aykut Erdem · 2021 · Image and Vision Computing
- mDALU: Multi-Source Domain Adaptation and Label Unification with Partial DatasetsRui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Learning Semantics for Visual Place Recognition Through Multi-scale AttentionValerio Paolicelli, Antonio Tavera, Carlo Masone, Gabriele Berton, Barbara Caputo B · 2022 · Lecture notes in computer science
- OmniSCV: An Omnidirectional Synthetic Image Generator for Computer VisionBruno Berenguel‐Baeta, Jesús Bermúdez-Cameo, J.J. Guerrero · 2020 · Sensors
- Deep Recognition of Vanishing-Point-Constrained Building Planes in Urban Street ViewsZhiliang Zeng, Mengyang Wu, Wei Zeng, Chi‐Wing Fu · 2020 · IEEE Transactions on Image Processing
- SegFastAnisha Pal, Shourya Jaiswal, Swarnendu Ghosh, Nibaran Das, Mita Nasipuri · 2018 · Indian Conference on Computer Vision, Graphics and Image Processing
- Significance-aware Information Bottleneck for Domain Adaptive Semantic SegmentationYawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang · 2019 · arXiv (Cornell University)
- CIM-WV: A 2D semantic segmentation dataset of rich window view contents in high-rise, high-density Hong Kong based on photorealistic city information modelsMaosu Li, Anthony G.O. Yeh, Fan Xue · 2024 · Urban Informatics
- Domain Adaptation for Traffic Density EstimationLuca Ciampi, Carlos Santiago, João Paulo Costeira, Claudio Gennaro, Giuseppe M. Amato · 2021 · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
- SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video DataYuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander Gerhard Schwing · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings