Literatura académica sobre el tema "Dense Vision Tasks"
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Artículos de revistas sobre el tema "Dense Vision Tasks"
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 completoTesis sobre el tema "Dense Vision Tasks"
Kundu, Jogendra Nath. "Self-Supervised Domain Adaptation Frameworks for Computer Vision Tasks". Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5782.
Texto completoCapítulos de libros sobre el tema "Dense Vision Tasks"
Appe, Seetharam Nagesh, G. Arulselvi y Balaji G. N. "Detection and Classification of Dense Tomato Fruits by Integrating Coordinate Attention Mechanism With YOLO Model". En Advances in Computational Intelligence and Robotics, 278–89. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8098-4.ch016.
Texto completoActas de conferencias sobre el tema "Dense Vision Tasks"
Levinshtein, Alex, Alborz Rezazadeh Sereshkeh y Konstantinos G. Derpanis. "DATNet: Dense Auxiliary Tasks for Object Detection". En 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2020. http://dx.doi.org/10.1109/wacv45572.2020.9093325.
Texto completoJeeveswaran, Kishaan, Senthilkumar Kathiresan, Arnav Varma, Omar Magdy, Bahram Zonooz y Elahe Arani. "A Comprehensive Study of Vision Transformers on Dense Prediction Tasks". En 17th International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2022. http://dx.doi.org/10.5220/0010917800003124.
Texto completoLi, Wei-Hong, Xialei Liu y Hakan Bilen. "Learning Multiple Dense Prediction Tasks from Partially Annotated Data". En 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.01831.
Texto completoTakahashi, Naoya y Yuki Mitsufuji. "Densely connected multidilated convolutional networks for dense prediction tasks". En 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00105.
Texto completoJung, HyunJun, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song et al. "On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks". En 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.00082.
Texto completoLai, Shenqi, Xi Du, Jia Guo y Kaipeng Zhang. "RaMLP: Vision MLP via Region-aware Mixing". En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/111.
Texto completoSchuster, Rene, Oliver Wasenmuller, Christian Unger y Didier Stricker. "SDC – Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks". En 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.00266.
Texto completoSwain, Michael J. y Lambert E. Wixson. "Efficient Estimation for Markov Random Fields". En Image Understanding and Machine Vision. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/iumv.1989.wc2.
Texto completoKobina, Piriziwè, Thierry Duval, Laurent Brisson y Anthony David. "Human-centered Evaluation of 3D Radial Layouts for Centrality Visualization". En WSCG'2022 - 30. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2022. Západočeská univerzita, 2022. http://dx.doi.org/10.24132/csrn.3201.9.
Texto completoSuo, Wei, MengYang Sun, Peng Wang y Qi Wu. "Proposal-free One-stage Referring Expression via Grid-Word Cross-Attention". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/143.
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