Artículos de revistas sobre el tema "Dense Vision Tasks"
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Yao, Chao, Shuo Jin, Meiqin Liu y Xiaojuan Ban. "Dense Residual Transformer for Image Denoising". Electronics 11, n.º 3 (29 de enero de 2022): 418. http://dx.doi.org/10.3390/electronics11030418.
Texto completoZhang, Qian, Yeqi Liu, Chuanyang Gong, Yingyi Chen y Huihui Yu. "Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review". Sensors 20, n.º 5 (10 de marzo de 2020): 1520. http://dx.doi.org/10.3390/s20051520.
Texto completoGan, Zhe, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu, Lijuan Wang y Zicheng Liu. "Playing Lottery Tickets with Vision and Language". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 652–60. http://dx.doi.org/10.1609/aaai.v36i1.19945.
Texto completoDinh, My-Tham, Deok-Jai Choi y Guee-Sang Lee. "DenseTextPVT: Pyramid Vision Transformer with Deep Multi-Scale Feature Refinement Network for Dense Text Detection". Sensors 23, n.º 13 (25 de junio de 2023): 5889. http://dx.doi.org/10.3390/s23135889.
Texto completoPan, Zizheng, Bohan Zhuang, Haoyu He, Jing Liu y Jianfei Cai. "Less Is More: Pay Less Attention in Vision Transformers". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 2035–43. http://dx.doi.org/10.1609/aaai.v36i2.20099.
Texto completoCASCO, CLARA, GIANLUCA CAMPANA, ALBA GRIECO, SILVANA MUSETTI y SALVATORE PERRONE. "Hyper-vision in a patient with central and paracentral vision loss reflects cortical reorganization". Visual Neuroscience 20, n.º 5 (septiembre de 2003): 501–10. http://dx.doi.org/10.1017/s0952523803205046.
Texto completoZhang, Xu, DeZhi Han y Chin-Chen Chang. "RDMMFET: Representation of Dense Multimodality Fusion Encoder Based on Transformer". Mobile Information Systems 2021 (18 de octubre de 2021): 1–9. http://dx.doi.org/10.1155/2021/2662064.
Texto completoLi, Bin, Haifeng Ye, Sihan Fu, Xiaojin Gong y Zhiyu Xiang. "UnVELO: Unsupervised Vision-Enhanced LiDAR Odometry with Online Correction". Sensors 23, n.º 8 (13 de abril de 2023): 3967. http://dx.doi.org/10.3390/s23083967.
Texto completoLiang, Junling, Heng Li, Fei Xu, Jianpin Chen, Meixuan Zhou, Liping Yin, Zhenzhen Zhai y Xinyu Chai. "A Fast Deployable Instance Elimination Segmentation Algorithm Based on Watershed Transform for Dense Cereal Grain Images". Agriculture 12, n.º 9 (16 de septiembre de 2022): 1486. http://dx.doi.org/10.3390/agriculture12091486.
Texto completoWang, Yaming, Minjie Wang, Wenqing Huang, Xiaoping Ye y Mingfeng Jiang. "Deep Spatial-Temporal Neural Network for Dense Non-Rigid Structure from Motion". Mathematics 10, n.º 20 (14 de octubre de 2022): 3794. http://dx.doi.org/10.3390/math10203794.
Texto completoWei, Guoqiang, Zhizheng Zhang, Cuiling Lan, Yan Lu y Zhibo Chen. "Active Token Mixer". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 3 (26 de junio de 2023): 2759–67. http://dx.doi.org/10.1609/aaai.v37i3.25376.
Texto completoTippetts, Beau, Dah Jye Lee, Kirt Lillywhite y James K. Archibald. "Hardware-Efficient Design of Real-Time Profile Shape Matching Stereo Vision Algorithm on FPGA". International Journal of Reconfigurable Computing 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/945926.
Texto completoXing, Shuli, Marely Lee y Keun-kwang Lee. "Citrus Pests and Diseases Recognition Model Using Weakly Dense Connected Convolution Network". Sensors 19, n.º 14 (19 de julio de 2019): 3195. http://dx.doi.org/10.3390/s19143195.
Texto completoHackel, T., N. Savinov, L. Ladicky, J. D. Wegner, K. Schindler y M. Pollefeys. "SEMANTIC3D.NET: A NEW LARGE-SCALE POINT CLOUD CLASSIFICATION BENCHMARK". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1/W1 (30 de mayo de 2017): 91–98. http://dx.doi.org/10.5194/isprs-annals-iv-1-w1-91-2017.
Texto completoCai, Pingping, Zhenyao Wu, Xinyi Wu y Song Wang. "Parametric Surface Constrained Upsampler Network for Point Cloud". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 1 (26 de junio de 2023): 250–58. http://dx.doi.org/10.1609/aaai.v37i1.25097.
Texto completoS R, Sreela y Sumam Mary Idicula. "Dense Model for Automatic Image Description Generation with Game Theoretic Optimization". Information 10, n.º 11 (15 de noviembre de 2019): 354. http://dx.doi.org/10.3390/info10110354.
Texto completoCho, Hoonhee y Kuk-Jin Yoon. "Event-Image Fusion Stereo Using Cross-Modality Feature Propagation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 454–62. http://dx.doi.org/10.1609/aaai.v36i1.19923.
Texto completoZhou, Wei, Ziheng Qian, Xinyuan Ni, Yujun Tang, Hanming Guo y Songlin Zhuang. "Dense Convolutional Neural Network for Identification of Raman Spectra". Sensors 23, n.º 17 (25 de agosto de 2023): 7433. http://dx.doi.org/10.3390/s23177433.
Texto completoKaradeniz, Ahmet Serdar, Mehmet Fatih Karadeniz, Gerhard Wilhelm Weber y Ismail Husein. "IMPROVING CNN FEATURES FOR FACIAL EXPRESSION RECOGNITION". ZERO: Jurnal Sains, Matematika dan Terapan 3, n.º 1 (11 de noviembre de 2019): 1. http://dx.doi.org/10.30829/zero.v3i1.5881.
Texto completoLey, Pia, Davide Bottari, Bhamy Hariprasad Shenoy, Ramesh Kekunnaya y Brigitte Roeder. "Restricted recovery of external remapping of tactile stimuli after restoring vision in a congenitally blind man". Seeing and Perceiving 25 (2012): 190. http://dx.doi.org/10.1163/187847612x648198.
Texto completoPark, Soya, Jonathan Bragg, Michael Chang, Kevin Larson y Danielle Bragg. "Exploring Team-Sourced Hyperlinks to Address Navigation Challenges for Low-Vision Readers of Scientific Papers". Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (7 de noviembre de 2022): 1–23. http://dx.doi.org/10.1145/3555629.
Texto completoWei, Shuangfeng, Shangxing Wang, Hao Li, Guangzu Liu, Tong Yang y Changchang Liu. "A Semantic Information-Based Optimized vSLAM in Indoor Dynamic Environments". Applied Sciences 13, n.º 15 (29 de julio de 2023): 8790. http://dx.doi.org/10.3390/app13158790.
Texto completoZhao, Yinuo, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang y Chi Harold Liu. "CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 3 (28 de junio de 2022): 3481–89. http://dx.doi.org/10.1609/aaai.v36i3.20259.
Texto completoHuang, X., R. Qin y M. Chen. "DISPARITY REFINEMENT OF BUILDING EDGES USING ROBUSTLY MATCHED STRAIGHT LINES FOR STEREO MATCHING". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-1 (26 de septiembre de 2018): 77–84. http://dx.doi.org/10.5194/isprs-annals-iv-1-77-2018.
Texto completoDeschaud, Jean-Emmanuel, David Duque, Jean Pierre Richa, Santiago Velasco-Forero, Beatriz Marcotegui y François Goulette. "Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping". Remote Sensing 13, n.º 22 (21 de noviembre de 2021): 4713. http://dx.doi.org/10.3390/rs13224713.
Texto completoLu, Nai Guang, Ming Li Dong, P. Sun y J. W. Guo. "A Point Matching Method for Stereovision Measurement". Key Engineering Materials 381-382 (junio de 2008): 305–8. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.305.
Texto completoLi, Yongbo, Yuanyuan Ma, Wendi Cai, Zhongzhao Xie y Tao Zhao. "Complementary Convolution Residual Networks for Semantic Segmentation in Street Scenes with Deep Gaussian CRF". Journal of Advanced Computational Intelligence and Intelligent Informatics 25, n.º 1 (20 de enero de 2021): 3–12. http://dx.doi.org/10.20965/jaciii.2021.p0003.
Texto completoXia, Y., P. d’Angelo, J. Tian y P. Reinartz. "DENSE MATCHING COMPARISON BETWEEN CLASSICAL AND DEEP LEARNING BASED ALGORITHMS FOR REMOTE SENSING DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (12 de agosto de 2020): 521–25. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-521-2020.
Texto completoLiu, Qi, Shibiao Xu, Jun Xiao y Ying Wang. "Sharp Feature-Preserving 3D Mesh Reconstruction from Point Clouds Based on Primitive Detection". Remote Sensing 15, n.º 12 (16 de junio de 2023): 3155. http://dx.doi.org/10.3390/rs15123155.
Texto completoBello, R. W., E. S. Ikeremo, F. N. Otobo, D. A. Olubummo y O. C. Enuma. "Cattle Segmentation and Contour Detection Based on Solo for Precision Livestock Husbandry". Journal of Applied Sciences and Environmental Management 26, n.º 10 (31 de octubre de 2022): 1713–20. http://dx.doi.org/10.4314/jasem.v26i10.15.
Texto completoHu, Shiyong, Jia Yan y Dexiang Deng. "Contextual Information Aided Generative Adversarial Network for Low-Light Image Enhancement". Electronics 11, n.º 1 (23 de diciembre de 2021): 32. http://dx.doi.org/10.3390/electronics11010032.
Texto completoWieczorek, Grzegorz, Sheikh Badar ud din Tahir, Israr Akhter y Jaroslaw Kurek. "Vehicle Detection and Recognition Approach in Multi-Scale Traffic Monitoring System via Graph-Based Data Optimization". Sensors 23, n.º 3 (3 de febrero de 2023): 1731. http://dx.doi.org/10.3390/s23031731.
Texto completoPérez, Javier, Mitch Bryson, Stefan B. Williams y Pedro J. Sanz. "Recovering Depth from Still Images for Underwater Dehazing Using Deep Learning". Sensors 20, n.º 16 (15 de agosto de 2020): 4580. http://dx.doi.org/10.3390/s20164580.
Texto completoZhang, Dongdong, Chunping Wang y Qiang Fu. "CAFC-Net: A Critical and Align Feature Constructing Network for Oriented Ship Detection in Aerial Images". Computational Intelligence and Neuroscience 2022 (24 de febrero de 2022): 1–11. http://dx.doi.org/10.1155/2022/3391391.
Texto completoBhanushali, Darshan, Robert Relyea, Karan Manghi, Abhishek Vashist, Clark Hochgraf, Amlan Ganguly, Andres Kwasinski, Michael E. Kuhl y Raymond Ptucha. "LiDAR-Camera Fusion for 3D Object Detection". Electronic Imaging 2020, n.º 16 (26 de enero de 2020): 257–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.16.avm-255.
Texto completoNaik, Prof Shruti P., Vishal Lohbande, Shreyas Hambir, Rohit Korade y Rahul Hatkar. "Fire Detection with Image Processing". International Journal for Research in Applied Science and Engineering Technology 11, n.º 5 (31 de mayo de 2023): 2123–28. http://dx.doi.org/10.22214/ijraset.2023.52073.
Texto completoFennimore, Steven A., David C. Slaughter, Mark C. Siemens, Ramon G. Leon y Mazin N. Saber. "Technology for Automation of Weed Control in Specialty Crops". Weed Technology 30, n.º 4 (diciembre de 2016): 823–37. http://dx.doi.org/10.1614/wt-d-16-00070.1.
Texto completoNaik, Prof Shruti P., Shreyas Hambir, Vishal Lohbande, Rohit Korade y Rahul Hatkar. "Fire Detection with Image Processing". International Journal for Research in Applied Science and Engineering Technology 11, n.º 2 (28 de febrero de 2023): 321–24. http://dx.doi.org/10.22214/ijraset.2023.49014.
Texto completoSong, Kechen, Yiming Zhang, Yanqi Bao, Ying Zhao y Yunhui Yan. "Self-Enhanced Mixed Attention Network for Three-Modal Images Few-Shot Semantic Segmentation". Sensors 23, n.º 14 (22 de julio de 2023): 6612. http://dx.doi.org/10.3390/s23146612.
Texto completoVerveras, Evangelos y Stefanos Zafeiriou. "SliderGAN: Synthesizing Expressive Face Images by Sliding 3D Blendshape Parameters". International Journal of Computer Vision 128, n.º 10-11 (11 de junio de 2020): 2629–50. http://dx.doi.org/10.1007/s11263-020-01338-7.
Texto completoHuang, S., F. Nex, Y. Lin y M. Y. Yang. "SEMANTIC SEGMENTATION OF BUILDING IN AIRBORNE IMAGES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (4 de junio de 2019): 35–42. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-35-2019.
Texto completoXiao, Feng, Haibin Wang, Yueqin Xu y Ruiqing Zhang. "Fruit Detection and Recognition Based on Deep Learning for Automatic Harvesting: An Overview and Review". Agronomy 13, n.º 6 (16 de junio de 2023): 1625. http://dx.doi.org/10.3390/agronomy13061625.
Texto completoShchetinin, E. Yu. "ON AUTOMATIC DETECTION OF ANOMALIES IN ELECTROCARDIOGRAMMS WITH GENERATIVE MACHINE LEARNING". Vestnik komp'iuternykh i informatsionnykh tekhnologii, n.º 216 (junio de 2022): 51–59. http://dx.doi.org/10.14489/vkit.2022.06.pp.051-059.
Texto completoLemenkova, Polina y Olivier Debeir. "Recognizing the Wadi Fluvial Structure and Stream Network in the Qena Bend of the Nile River, Egypt, on Landsat 8-9 OLI Images". Information 14, n.º 4 (20 de abril de 2023): 249. http://dx.doi.org/10.3390/info14040249.
Texto completoDua, Sakshi, Sethuraman Sambath Kumar, Yasser Albagory, Rajakumar Ramalingam, Ankur Dumka, Rajesh Singh, Mamoon Rashid, Anita Gehlot, Sultan S. Alshamrani y Ahmed Saeed AlGhamdi. "Developing a Speech Recognition System for Recognizing Tonal Speech Signals Using a Convolutional Neural Network". Applied Sciences 12, n.º 12 (19 de junio de 2022): 6223. http://dx.doi.org/10.3390/app12126223.
Texto completoYan, Xu, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang y Shuguang Cui. "Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 3101–9. http://dx.doi.org/10.1609/aaai.v35i4.16419.
Texto completoMaurer, M., M. Hofer, F. Fraundorfer y H. Bischof. "AUTOMATED INSPECTION OF POWER LINE CORRIDORS TO MEASURE VEGETATION UNDERCUT USING UAV-BASED IMAGES". ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W3 (18 de agosto de 2017): 33–40. http://dx.doi.org/10.5194/isprs-annals-iv-2-w3-33-2017.
Texto completoChen, Xiao, Mujiahui Yuan, Chenye Fan, Xingwu Chen, Yaan Li y Haiyan Wang. "Research on an Underwater Object Detection Network Based on Dual-Branch Feature Extraction". Electronics 12, n.º 16 (11 de agosto de 2023): 3413. http://dx.doi.org/10.3390/electronics12163413.
Texto completoTsourounis, Dimitrios, Dimitris Kastaniotis, Christos Theoharatos, Andreas Kazantzidis y George Economou. "SIFT-CNN: When Convolutional Neural Networks Meet Dense SIFT Descriptors for Image and Sequence Classification". Journal of Imaging 8, n.º 10 (21 de septiembre de 2022): 256. http://dx.doi.org/10.3390/jimaging8100256.
Texto completoJiang, S., W. Yao y M. Heurich. "DEAD WOOD DETECTION BASED ON SEMANTIC SEGMENTATION OF VHR AERIAL CIR IMAGERY USING OPTIMIZED FCN-DENSENET". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (17 de septiembre de 2019): 127–33. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-127-2019.
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