Artykuły w czasopismach na temat „Hierarchical representations of images”
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Abdelhack, Mohamed, i Yukiyasu Kamitani. "Sharpening of Hierarchical Visual Feature Representations of Blurred Images". eneuro 5, nr 3 (maj 2018): ENEURO.0443–17.2018. http://dx.doi.org/10.1523/eneuro.0443-17.2018.
Pełny tekst źródłaGao, Hongchao, Yujia Li, Jiao Dai, Xi Wang, Jizhong Han i Ruixuan Li. "Multi-granularity Deep Local Representations for Irregular Scene Text Recognition". ACM/IMS Transactions on Data Science 2, nr 2 (2.04.2021): 1–18. http://dx.doi.org/10.1145/3446971.
Pełny tekst źródłaRamos Lima, Gustavo, Thiago Oliveira Santos, Patrick Marques Ciarelli i 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 (3.05.2023): 355–62. http://dx.doi.org/10.14210/cotb.v14.p355-362.
Pełny tekst źródłaFerreira, João Elias Vidueira, i Gwendolyn Angela Lawrie. "Profiling the combinations of multiple representations used in large-class teaching: pathways to inclusive practices". Chemistry Education Research and Practice 20, nr 4 (2019): 902–23. http://dx.doi.org/10.1039/c9rp00001a.
Pełny tekst źródłaLiu, Hao, Bin Wang, Zhimin Bao, Mobai Xue, Sheng Kang, Deqiang Jiang, Yinsong Liu i Bo Ren. "Perceiving Stroke-Semantic Context: Hierarchical Contrastive Learning for Robust Scene Text Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 2 (28.06.2022): 1702–10. http://dx.doi.org/10.1609/aaai.v36i2.20062.
Pełny tekst źródłaGazagnes, Simon, i 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, nr 11 (październik 2019): 1940012. http://dx.doi.org/10.1142/s0218001419400123.
Pełny tekst źródłaPAJAROLA, RENATO, MIGUEL SAINZ i YU MENG. "DMESH: FAST DEPTH-IMAGE MESHING AND WARPING". International Journal of Image and Graphics 04, nr 04 (październik 2004): 653–81. http://dx.doi.org/10.1142/s0219467804001580.
Pełny tekst źródłaBai, Jie, Huiyan Jiang, Siqi Li i Xiaoqi Ma. "NHL Pathological Image Classification Based on Hierarchical Local Information and GoogLeNet-Based Representations". BioMed Research International 2019 (21.03.2019): 1–13. http://dx.doi.org/10.1155/2019/1065652.
Pełny tekst źródłaPham, Hai X., Ricardo Guerrero, Vladimir Pavlovic i Jiatong Li. "CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval". Proceedings of the AAAI Conference on Artificial Intelligence 35, nr 3 (18.05.2021): 2423–30. http://dx.doi.org/10.1609/aaai.v35i3.16343.
Pełny tekst źródłaQiu, Zexuan, Jiahong Liu, Yankai Chen i Irwin King. "HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval". Proceedings of the AAAI Conference on Artificial Intelligence 38, nr 5 (24.03.2024): 4614–22. http://dx.doi.org/10.1609/aaai.v38i5.28261.
Pełny tekst źródłaYe, Jian, Jiangqun Ni i Yang Yi. "Deep Learning Hierarchical Representations for Image Steganalysis". IEEE Transactions on Information Forensics and Security 12, nr 11 (listopad 2017): 2545–57. http://dx.doi.org/10.1109/tifs.2017.2710946.
Pełny tekst źródłaChen, Wei-Bang, i Chengcui Zhang. "An Innovative Multiple-Object Image Retrieval Framework Using Hierarchical Region Tree". International Journal of Multimedia Data Engineering and Management 4, nr 3 (lipiec 2013): 1–23. http://dx.doi.org/10.4018/jmdem.2013070101.
Pełny tekst źródłaMylona, Eleftheria, Vassiliki Daskalopoulou, Olga Sykioti, Konstantinos Koutroumbas i Athanasios Rontogiannis. "Classification of Sentinel-2 Images Utilizing Abundance Representation". Proceedings 2, nr 7 (22.03.2018): 328. http://dx.doi.org/10.3390/ecrs-2-05141.
Pełny tekst źródłaZhang, Yinghua, i Wei Hou. "Vision Transformer with hierarchical structure and windows shifting for person re-identification". PLOS ONE 18, nr 6 (30.06.2023): e0287979. http://dx.doi.org/10.1371/journal.pone.0287979.
Pełny tekst źródłaLiu, Yuting, Hongyu Yang i Qijun Zhao. "Hierarchical Feature Aggregation from Body Parts for Misalignment Robust Person Re-Identification". Applied Sciences 9, nr 11 (31.05.2019): 2255. http://dx.doi.org/10.3390/app9112255.
Pełny tekst źródłaWu, Hanbo, Xin Ma i Yibin Li. "Hierarchical dynamic depth projected difference images–based action recognition in videos with convolutional neural networks". International Journal of Advanced Robotic Systems 16, nr 1 (1.01.2019): 172988141882509. http://dx.doi.org/10.1177/1729881418825093.
Pełny tekst źródłaChen, Yuhao, Alexander Wong, Yuan Fang, Yifan Wu i Linlin Xu. "Deep Residual Transform for Multi-scale Image Decomposition". Journal of Computational Vision and Imaging Systems 6, nr 1 (15.01.2021): 1–5. http://dx.doi.org/10.15353/jcvis.v6i1.3537.
Pełny tekst źródłaXiao, Degui, Qilei Chen i Shanshan Li. "A Multi-Scale Cascaded Hierarchical Model for Image Labeling". International Journal of Pattern Recognition and Artificial Intelligence 30, nr 09 (listopad 2016): 1660005. http://dx.doi.org/10.1142/s0218001416600053.
Pełny tekst źródłaLiu, Xueping, Yibo Li i 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, nr 10 (20.06.2018): 1850033. http://dx.doi.org/10.1142/s0218001418500337.
Pełny tekst źródłaFu, Qian, Linlin Liu, Fei Hou i Ying He. "Hierarchical vectorization for facial images". Computational Visual Media 10, nr 1 (luty 2023): 97–118. http://dx.doi.org/10.1007/s41095-022-0314-4.
Pełny tekst źródłaLEE, CHANG WOO, HYUN KANG, HANG JOON KIM i KEECHUL JUNG. "FONT CLASSIFICATION USING NMF WITH HIERARCHICAL CLUSTERING". International Journal of Pattern Recognition and Artificial Intelligence 19, nr 06 (wrzesień 2005): 755–73. http://dx.doi.org/10.1142/s0218001405004307.
Pełny tekst źródłaJiang, Yuming, Shuai Yang, Haonan Qju, Wayne Wu, Chen Change Loy i Ziwei Liu. "Text2Human". ACM Transactions on Graphics 41, nr 4 (lipiec 2022): 1–11. http://dx.doi.org/10.1145/3528223.3530104.
Pełny tekst źródłaZhou, Xiaomao, Tao Bai, Yanbin Gao i Yuntao Han. "Vision-Based Robot Navigation through Combining Unsupervised Learning and Hierarchical Reinforcement Learning". Sensors 19, nr 7 (1.04.2019): 1576. http://dx.doi.org/10.3390/s19071576.
Pełny tekst źródłaZhou, Yuxiao, Menglei Chai, Alessandro Pepe, Markus Gross i Thabo Beeler. "GroomGen: A High-Quality Generative Hair Model Using Hierarchical Latent Representations". ACM Transactions on Graphics 42, nr 6 (5.12.2023): 1–16. http://dx.doi.org/10.1145/3618309.
Pełny tekst źródłaSon, Dong-Min, i Sung-Hak Lee. "Enhancing Surveillance Vision with Multi-Layer Deep Learning Representation". Mathematics 12, nr 9 (25.04.2024): 1313. http://dx.doi.org/10.3390/math12091313.
Pełny tekst źródłaBEHNKE, SVEN. "LEARNING ITERATIVE IMAGE RECONSTRUCTION IN THE NEURAL ABSTRACTION PYRAMID". International Journal of Computational Intelligence and Applications 01, nr 04 (grudzień 2001): 427–38. http://dx.doi.org/10.1142/s1469026801000342.
Pełny tekst źródłaMao, Xiaoyang, Tosiyasu Kunii, Issei Fujishiro i Tsukasa Noma. "Hierarchical Representations of 2D/3D Gray-Scale Images and Their 2D/3D Two-Way Conversion". IEEE Computer Graphics and Applications 7, nr 12 (grudzień 1987): 37–44. http://dx.doi.org/10.1109/mcg.1987.276937.
Pełny tekst źródłaPark, Hisup, Mark R. Cutkosky, Andrew B. Conru i Soo-Hong Lee. "An agent-based approach to concurrent cable harness design". Artificial Intelligence for Engineering Design, Analysis and Manufacturing 8, nr 1 (1994): 45–61. http://dx.doi.org/10.1017/s0890060400000457.
Pełny tekst źródłaLi, Rui, Zhenyu Liu i 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.
Pełny tekst źródłaGagandeep 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, nr 2s (31.03.2024): 1325–33. http://dx.doi.org/10.52783/jes.1773.
Pełny tekst źródłaSantos, Jéssica de Castro, Cristina Arreguy-Sena, Paulo Ferreira Pinto, Elenir de Paiva Pereira, Marcelo da Silva Alves i 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.
Pełny tekst źródłaWang, Bo, Jichang Guo, Yan Zhang i Chongyi Li. "Hierarchical feature concatenation-based kernel sparse representations for image categorization". Visual Computer 33, nr 5 (2.03.2016): 647–63. http://dx.doi.org/10.1007/s00371-016-1215-2.
Pełny tekst źródłaPerret, B., S. Lefevre, C. Collet i Éric Slezak. "Hyperconnections and Hierarchical Representations for Grayscale and Multiband Image Processing". IEEE Transactions on Image Processing 21, nr 1 (styczeń 2012): 14–27. http://dx.doi.org/10.1109/tip.2011.2161322.
Pełny tekst źródłaMahmood, Ammar, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid, Renae Hovey, Robert B. Fisher i Gary A. Kendrick. "Automatic Hierarchical Classification of Kelps Using Deep Residual Features". Sensors 20, nr 2 (13.01.2020): 447. http://dx.doi.org/10.3390/s20020447.
Pełny tekst źródłaYu, Huai, Tianheng Yan, Wen Yang i 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 (7.06.2016): 1085–91. http://dx.doi.org/10.5194/isprsarchives-xli-b1-1085-2016.
Pełny tekst źródłaYu, Huai, Tianheng Yan, Wen Yang i 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 (7.06.2016): 1085–91. http://dx.doi.org/10.5194/isprs-archives-xli-b1-1085-2016.
Pełny tekst źródłaZhang, Jiahang, Lilang Lin i Jiaying Liu. "Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations". Proceedings of the AAAI Conference on Artificial Intelligence 37, nr 3 (26.06.2023): 3427–35. http://dx.doi.org/10.1609/aaai.v37i3.25451.
Pełny tekst źródłaLiu, Xinlong, Chu He, Dehui Xiong i Mingsheng Liao. "Pattern Statistics Network for Classification of High-Resolution SAR Images". Remote Sensing 11, nr 16 (20.08.2019): 1942. http://dx.doi.org/10.3390/rs11161942.
Pełny tekst źródłaSwan, Elaine. "Iconographies of the everyday: Mediated whiteness and food hospitality activism". European Journal of Cultural Studies 24, nr 6 (25.11.2021): 1319–39. http://dx.doi.org/10.1177/13675494211055737.
Pełny tekst źródłaKunii, Tosiyasu L., Issei Fujishiro i Xiaoyang Mao. "G-quadtree: A hierarchical representation of gray-scale digital images". Visual Computer 2, nr 4 (sierpień 1986): 219–26. http://dx.doi.org/10.1007/bf01900345.
Pełny tekst źródłaHovhannisyan, Mariam, Alex Clarke, Benjamin R. Geib, Rosalie Cicchinelli, Zachary Monge, Tory Worth, Amanda Szymanski, Roberto Cabeza i Simon W. Davis. "The visual and semantic features that predict object memory: Concept property norms for 1,000 object images". Memory & Cognition 49, nr 4 (19.01.2021): 712–31. http://dx.doi.org/10.3758/s13421-020-01130-5.
Pełny tekst źródłaCheng, Xi, Xiang Li i Jian Yang. "Triple-Attention Mixed-Link Network for Single-Image Super-Resolution". Applied Sciences 9, nr 15 (25.07.2019): 2992. http://dx.doi.org/10.3390/app9152992.
Pełny tekst źródłaYamanakkanavar, Nagaraj, Jae Young Choi i Bumshik Lee. "Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images". Sensors 22, nr 9 (30.04.2022): 3440. http://dx.doi.org/10.3390/s22093440.
Pełny tekst źródłaRubin, Stuart, Roumen Kountchev, Mariofanna Milanova i Roumiana Kountcheva. "Multispectral Image Compression, Intelligent Analysis, and Hierarchical Search in Image Databases". International Journal of Multimedia Data Engineering and Management 3, nr 4 (październik 2012): 1–30. http://dx.doi.org/10.4018/jmdem.2012100101.
Pełny tekst źródłaChoi, Seongho, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Minsu Lee i Byoung-Tak Zhang. "DramaQA: Character-Centered Video Story Understanding with Hierarchical QA". Proceedings of the AAAI Conference on Artificial Intelligence 35, nr 2 (18.05.2021): 1166–74. http://dx.doi.org/10.1609/aaai.v35i2.16203.
Pełny tekst źródłaZhang, Litian, Xiaoming Zhang i Junshu Pan. "Hierarchical Cross-Modality Semantic Correlation Learning Model for Multimodal Summarization". Proceedings of the AAAI Conference on Artificial Intelligence 36, nr 10 (28.06.2022): 11676–84. http://dx.doi.org/10.1609/aaai.v36i10.21422.
Pełny tekst źródłaValitova, Z. Kh, i A. B. Yessimova. "Territorial images of Kazakhstan in the perception of the student youth". RUDN Journal of Sociology 21, nr 3 (17.09.2021): 543–56. http://dx.doi.org/10.22363/2313-2272-2021-21-3-543-556.
Pełny tekst źródłaDing, Youli, Xianwei Zheng, Yan Zhou, Hanjiang Xiong i and Jianya Gong. "Low-Cost and Efficient Indoor 3D Reconstruction Through Annotated Hierarchical Structure-from-Motion". Remote Sensing 11, nr 1 (29.12.2018): 58. http://dx.doi.org/10.3390/rs11010058.
Pełny tekst źródłaSuppes, Patrick, Marcos Perreau-Guimaraes i Dik Kin Wong. "Partial Orders of Similarity Differences Invariant Between EEG-Recorded Brain and Perceptual Representations of Language". Neural Computation 21, nr 11 (listopad 2009): 3228–69. http://dx.doi.org/10.1162/neco.2009.04-08-764.
Pełny tekst źródłaJin, Ge, Xu Chen i Long Ying. "Deep Multi-Task Learning for an Autoencoder-Regularized Semantic Segmentation of Fundus Retina Images". Mathematics 10, nr 24 (16.12.2022): 4798. http://dx.doi.org/10.3390/math10244798.
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