Artigos de revistas sobre o tema "Hierarchical representations of images"
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Abdelhack, Mohamed, e Yukiyasu Kamitani. "Sharpening of Hierarchical Visual Feature Representations of Blurred Images". eneuro 5, n.º 3 (maio de 2018): ENEURO.0443–17.2018. http://dx.doi.org/10.1523/eneuro.0443-17.2018.
Texto completo da fonteGao, Hongchao, Yujia Li, Jiao Dai, Xi Wang, Jizhong Han e Ruixuan Li. "Multi-granularity Deep Local Representations for Irregular Scene Text Recognition". ACM/IMS Transactions on Data Science 2, n.º 2 (2 de abril de 2021): 1–18. http://dx.doi.org/10.1145/3446971.
Texto completo da fonteRamos Lima, Gustavo, Thiago Oliveira Santos, Patrick Marques Ciarelli e Filipe Mutz. "Comparação de Técnicas para Representação Vetorial de Imagens com Redes Neurais para Aplicações de Recuperação de Produtos do Varejo". Anais do Computer on the Beach 14 (3 de maio de 2023): 355–62. http://dx.doi.org/10.14210/cotb.v14.p355-362.
Texto completo da fonteFerreira, João Elias Vidueira, e Gwendolyn Angela Lawrie. "Profiling the combinations of multiple representations used in large-class teaching: pathways to inclusive practices". Chemistry Education Research and Practice 20, n.º 4 (2019): 902–23. http://dx.doi.org/10.1039/c9rp00001a.
Texto completo da fonteLiu, Hao, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu e Bo Ren. "Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junho de 2022): 1702–10. http://dx.doi.org/10.1609/aaai.v36i2.20062.
Texto completo da fonteGazagnes, Simon, e Michael H. F. Wilkinson. "Distributed Component Forests in 2-D: Hierarchical Image Representations Suitable for Tera-Scale Images". International Journal of Pattern Recognition and Artificial Intelligence 33, n.º 11 (outubro de 2019): 1940012. http://dx.doi.org/10.1142/s0218001419400123.
Texto completo da fontePAJAROLA, RENATO, MIGUEL SAINZ e YU MENG. "DMESH: FAST DEPTH-IMAGE MESHING AND WARPING". International Journal of Image and Graphics 04, n.º 04 (outubro de 2004): 653–81. http://dx.doi.org/10.1142/s0219467804001580.
Texto completo da fonteBai, Jie, Huiyan Jiang, Siqi Li e Xiaoqi Ma. "NHL Pathological Image Classification Based on Hierarchical Local Information and GoogLeNet-Based Representations". BioMed Research International 2019 (21 de março de 2019): 1–13. http://dx.doi.org/10.1155/2019/1065652.
Texto completo da fontePham, Hai X., Ricardo Guerrero, Vladimir Pavlovic e Jiatong Li. "CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 3 (18 de maio de 2021): 2423–30. http://dx.doi.org/10.1609/aaai.v35i3.16343.
Texto completo da fonteQiu, Zexuan, Jiahong Liu, Yankai Chen e Irwin King. "HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 5 (24 de março de 2024): 4614–22. http://dx.doi.org/10.1609/aaai.v38i5.28261.
Texto completo da fonteYe, Jian, Jiangqun Ni e Yang Yi. "Deep Learning Hierarchical Representations for Image Steganalysis". IEEE Transactions on Information Forensics and Security 12, n.º 11 (novembro de 2017): 2545–57. http://dx.doi.org/10.1109/tifs.2017.2710946.
Texto completo da fonteChen, Wei-Bang, e Chengcui Zhang. "An Innovative Multiple-Object Image Retrieval Framework Using Hierarchical Region Tree". International Journal of Multimedia Data Engineering and Management 4, n.º 3 (julho de 2013): 1–23. http://dx.doi.org/10.4018/jmdem.2013070101.
Texto completo da fonteMylona, Eleftheria, Vassiliki Daskalopoulou, Olga Sykioti, Konstantinos Koutroumbas e Athanasios Rontogiannis. "Classification of Sentinel-2 Images Utilizing Abundance Representation". Proceedings 2, n.º 7 (22 de março de 2018): 328. http://dx.doi.org/10.3390/ecrs-2-05141.
Texto completo da fonteZhang, Yinghua, e Wei Hou. "Vision Transformer with hierarchical structure and windows shifting for person re-identification". PLOS ONE 18, n.º 6 (30 de junho de 2023): e0287979. http://dx.doi.org/10.1371/journal.pone.0287979.
Texto completo da fonteLiu, Yuting, Hongyu Yang e Qijun Zhao. "Hierarchical Feature Aggregation from Body Parts for Misalignment Robust Person Re-Identification". Applied Sciences 9, n.º 11 (31 de maio de 2019): 2255. http://dx.doi.org/10.3390/app9112255.
Texto completo da fonteWu, Hanbo, Xin Ma e Yibin Li. "Hierarchical dynamic depth projected difference images–based action recognition in videos with convolutional neural networks". International Journal of Advanced Robotic Systems 16, n.º 1 (1 de janeiro de 2019): 172988141882509. http://dx.doi.org/10.1177/1729881418825093.
Texto completo da fonteChen, Yuhao, Alexander Wong, Yuan Fang, Yifan Wu e Linlin Xu. "Deep Residual Transform for Multi-scale Image Decomposition". Journal of Computational Vision and Imaging Systems 6, n.º 1 (15 de janeiro de 2021): 1–5. http://dx.doi.org/10.15353/jcvis.v6i1.3537.
Texto completo da fonteXiao, Degui, Qilei Chen e Shanshan Li. "A Multi-Scale Cascaded Hierarchical Model for Image Labeling". International Journal of Pattern Recognition and Artificial Intelligence 30, n.º 09 (novembro de 2016): 1660005. http://dx.doi.org/10.1142/s0218001416600053.
Texto completo da fonteLiu, Xueping, Yibo Li e Qingjun Wang. "Multi-View Hierarchical Bidirectional Recurrent Neural Network for Depth Video Sequence Based Action Recognition". International Journal of Pattern Recognition and Artificial Intelligence 32, n.º 10 (20 de junho de 2018): 1850033. http://dx.doi.org/10.1142/s0218001418500337.
Texto completo da fonteFu, Qian, Linlin Liu, Fei Hou e Ying He. "Hierarchical vectorization for facial images". Computational Visual Media 10, n.º 1 (fevereiro de 2023): 97–118. http://dx.doi.org/10.1007/s41095-022-0314-4.
Texto completo da fonteLEE, CHANG WOO, HYUN KANG, HANG JOON KIM e KEECHUL JUNG. "FONT CLASSIFICATION USING NMF WITH HIERARCHICAL CLUSTERING". International Journal of Pattern Recognition and Artificial Intelligence 19, n.º 06 (setembro de 2005): 755–73. http://dx.doi.org/10.1142/s0218001405004307.
Texto completo da fonteJiang, Yuming, Shuai Yang, Haonan Qju, Wayne Wu, Chen Change Loy e Ziwei Liu. "Text2Human". ACM Transactions on Graphics 41, n.º 4 (julho de 2022): 1–11. http://dx.doi.org/10.1145/3528223.3530104.
Texto completo da fonteZhou, Xiaomao, Tao Bai, Yanbin Gao e Yuntao Han. "Vision-Based Robot Navigation through Combining Unsupervised Learning and Hierarchical Reinforcement Learning". Sensors 19, n.º 7 (1 de abril de 2019): 1576. http://dx.doi.org/10.3390/s19071576.
Texto completo da fonteZhou, Yuxiao, Menglei Chai, Alessandro Pepe, Markus Gross e Thabo Beeler. "GroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations". ACM Transactions on Graphics 42, n.º 6 (5 de dezembro de 2023): 1–16. http://dx.doi.org/10.1145/3618309.
Texto completo da fonteSon, Dong-Min, e Sung-Hak Lee. "Enhancing Surveillance Vision with Multi-Layer Deep Learning Representation". Mathematics 12, n.º 9 (25 de abril de 2024): 1313. http://dx.doi.org/10.3390/math12091313.
Texto completo da fonteBEHNKE, SVEN. "LEARNING ITERATIVE IMAGE RECONSTRUCTION IN THE NEURAL ABSTRACTION PYRAMID". International Journal of Computational Intelligence and Applications 01, n.º 04 (dezembro de 2001): 427–38. http://dx.doi.org/10.1142/s1469026801000342.
Texto completo da fonteMao, Xiaoyang, Tosiyasu Kunii, Issei Fujishiro e Tsukasa Noma. "Hierarchical Representations of 2D/3D Gray-Scale Images and Their 2D/3D Two-Way Conversion". IEEE Computer Graphics and Applications 7, n.º 12 (dezembro de 1987): 37–44. http://dx.doi.org/10.1109/mcg.1987.276937.
Texto completo da fontePark, Hisup, Mark R. Cutkosky, Andrew B. Conru e Soo-Hong Lee. "An agent-based approach to concurrent cable harness design". Artificial Intelligence for Engineering Design, Analysis and Manufacturing 8, n.º 1 (1994): 45–61. http://dx.doi.org/10.1017/s0890060400000457.
Texto completo da fonteLi, Rui, Zhenyu Liu e Jianrong Tan. "Reassessing Hierarchical Representation for Action Recognition in Still Images". IEEE Access 6 (2018): 61386–400. http://dx.doi.org/10.1109/access.2018.2872798.
Texto completo da fonteGagandeep Kaur, Vedant Pinjarkar, Rutuja Rajendra, Latika Pinjarkar, Jaspal Bagga, Poorva Agrawal,. "Deep Learning Model for Retrieving Color Logo Images in Content Based Image Retrieval". Journal of Electrical Systems 20, n.º 2s (31 de março de 2024): 1325–33. http://dx.doi.org/10.52783/jes.1773.
Texto completo da fonteSantos, Jéssica de Castro, Cristina Arreguy-Sena, Paulo Ferreira Pinto, Elenir de Paiva Pereira, Marcelo da Silva Alves e Fabiano Bolpato Loures. "Social representation of elderly people on falls: structural analysis and in the light of Neuman". Revista Brasileira de Enfermagem 71, suppl 2 (2018): 851–59. http://dx.doi.org/10.1590/0034-7167-2017-0258.
Texto completo da fonteWang, Bo, Jichang Guo, Yan Zhang e Chongyi Li. "Hierarchical feature concatenation-based kernel sparse representations for image categorization". Visual Computer 33, n.º 5 (2 de março de 2016): 647–63. http://dx.doi.org/10.1007/s00371-016-1215-2.
Texto completo da fontePerret, B., S. Lefevre, C. Collet e Éric Slezak. "Hyperconnections and Hierarchical Representations for Grayscale and Multiband Image Processing". IEEE Transactions on Image Processing 21, n.º 1 (janeiro de 2012): 14–27. http://dx.doi.org/10.1109/tip.2011.2161322.
Texto completo da fonteMahmood, Ammar, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid, Renae Hovey, Robert B. Fisher e Gary A. Kendrick. "Automatic Hierarchical Classification of Kelps Using Deep Residual Features". Sensors 20, n.º 2 (13 de janeiro de 2020): 447. http://dx.doi.org/10.3390/s20020447.
Texto completo da fonteYu, Huai, Tianheng Yan, Wen Yang e Hong Zheng. "AN INTEGRATIVE OBJECT-BASED IMAGE ANALYSIS WORKFLOW FOR UAV IMAGES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (7 de junho de 2016): 1085–91. http://dx.doi.org/10.5194/isprsarchives-xli-b1-1085-2016.
Texto completo da fonteYu, Huai, Tianheng Yan, Wen Yang e Hong Zheng. "AN INTEGRATIVE OBJECT-BASED IMAGE ANALYSIS WORKFLOW FOR UAV IMAGES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (7 de junho de 2016): 1085–91. http://dx.doi.org/10.5194/isprs-archives-xli-b1-1085-2016.
Texto completo da fonteZhang, Jiahang, Lilang Lin e Jiaying Liu. "Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 3 (26 de junho de 2023): 3427–35. http://dx.doi.org/10.1609/aaai.v37i3.25451.
Texto completo da fonteLiu, Xinlong, Chu He, Dehui Xiong e Mingsheng Liao. "Pattern Statistics Network for Classification of High-Resolution SAR Images". Remote Sensing 11, n.º 16 (20 de agosto de 2019): 1942. http://dx.doi.org/10.3390/rs11161942.
Texto completo da fonteSwan, Elaine. "Iconographies of the everyday: Mediated whiteness and food hospitality activism". European Journal of Cultural Studies 24, n.º 6 (25 de novembro de 2021): 1319–39. http://dx.doi.org/10.1177/13675494211055737.
Texto completo da fonteKunii, Tosiyasu L., Issei Fujishiro e Xiaoyang Mao. "G-quadtree: A hierarchical representation of gray-scale digital images". Visual Computer 2, n.º 4 (agosto de 1986): 219–26. http://dx.doi.org/10.1007/bf01900345.
Texto completo da fonteHovhannisyan, Mariam, Alex Clarke, Benjamin R. Geib, Rosalie Cicchinelli, Zachary Monge, Tory Worth, Amanda Szymanski, Roberto Cabeza e Simon W. Davis. "The visual and semantic features that predict object memory: Concept property norms for 1,000 object images". Memory & Cognition 49, n.º 4 (19 de janeiro de 2021): 712–31. http://dx.doi.org/10.3758/s13421-020-01130-5.
Texto completo da fonteCheng, Xi, Xiang Li e Jian Yang. "Triple-Attention Mixed-Link Network for Single-Image Super-Resolution". Applied Sciences 9, n.º 15 (25 de julho de 2019): 2992. http://dx.doi.org/10.3390/app9152992.
Texto completo da fonteYamanakkanavar, Nagaraj, Jae Young Choi e Bumshik Lee. "Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images". Sensors 22, n.º 9 (30 de abril de 2022): 3440. http://dx.doi.org/10.3390/s22093440.
Texto completo da fonteRubin, Stuart, Roumen Kountchev, Mariofanna Milanova e Roumiana Kountcheva. "Multispectral Image Compression, Intelligent Analysis, and Hierarchical Search in Image Databases". International Journal of Multimedia Data Engineering and Management 3, n.º 4 (outubro de 2012): 1–30. http://dx.doi.org/10.4018/jmdem.2012100101.
Texto completo da fonteChoi, Seongho, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee e Byoung-Tak Zhang. "DramaQA: Character-Centered Video Story Understanding with Hierarchical QA". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 2 (18 de maio de 2021): 1166–74. http://dx.doi.org/10.1609/aaai.v35i2.16203.
Texto completo da fonteZhang, Litian, Xiaoming Zhang e Junshu Pan. "Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 10 (28 de junho de 2022): 11676–84. http://dx.doi.org/10.1609/aaai.v36i10.21422.
Texto completo da fonteValitova, Z. Kh, e A. B. Yessimova. "Territorial images of Kazakhstan in the perception of the student youth". RUDN Journal of Sociology 21, n.º 3 (17 de setembro de 2021): 543–56. http://dx.doi.org/10.22363/2313-2272-2021-21-3-543-556.
Texto completo da fonteDing, Youli, Xianwei Zheng, Yan Zhou, Hanjiang Xiong e and Jianya Gong. "Low-Cost and Efficient Indoor 3D Reconstruction Through Annotated Hierarchical Structure-from-Motion". Remote Sensing 11, n.º 1 (29 de dezembro de 2018): 58. http://dx.doi.org/10.3390/rs11010058.
Texto completo da fonteSuppes, Patrick, Marcos Perreau-Guimaraes e Dik Kin Wong. "Partial Orders of Similarity Differences Invariant Between EEG-Recorded Brain and Perceptual Representations of Language". Neural Computation 21, n.º 11 (novembro de 2009): 3228–69. http://dx.doi.org/10.1162/neco.2009.04-08-764.
Texto completo da fonteJin, Ge, Xu Chen e Long Ying. "Deep Multi-Task Learning for an Autoencoder-Regularized Semantic Segmentation of Fundus Retina Images". Mathematics 10, n.º 24 (16 de dezembro de 2022): 4798. http://dx.doi.org/10.3390/math10244798.
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