Artículos de revistas sobre el tema "Fine-grained image analysi"
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Lv, Zhihan, Liang Qiao, Amit Kumar Singh y Qingjun Wang. "Fine-Grained Visual Computing Based on Deep Learning". ACM Transactions on Multimedia Computing, Communications, and Applications 17, n.º 1s (20 de abril de 2021): 1–19. http://dx.doi.org/10.1145/3418215.
Texto completoZhou, Dehui. "Image Recognition of Pledges of Capital Stock in Small- and Medium-Sized Enterprises Based on Partial Differential Equations". Advances in Mathematical Physics 2021 (1 de noviembre de 2021): 1–10. http://dx.doi.org/10.1155/2021/6548344.
Texto completoSun, Yingxue y Junbo Gao. "Fine-grained Multimodal Sentiment Analysis Based on Gating and Attention Mechanism". Electronics Science Technology and Application 7, n.º 4 (21 de enero de 2021): 123. http://dx.doi.org/10.18686/esta.v7i4.166.
Texto completoWang, Xiaoqin, Rushi Lan, Huadeng Wang, Zhenbing Liu y Xiaonan Luo. "Fine-grained correlation analysis for medical image retrieval". Computers & Electrical Engineering 90 (marzo de 2021): 106992. http://dx.doi.org/10.1016/j.compeleceng.2021.106992.
Texto completoYan, Yichao, Bingbing Ni, Huawei Wei y Xiaokang Yang. "Fine-grained image analysis via progressive feature learning". Neurocomputing 396 (julio de 2020): 254–65. http://dx.doi.org/10.1016/j.neucom.2018.07.100.
Texto completoGuo, Jinyi, Wei Ren, Yi Ren y Tianqin Zhu. "A Watermark-Based in-Situ Access Control Model for Image Big Data". Future Internet 10, n.º 8 (29 de julio de 2018): 69. http://dx.doi.org/10.3390/fi10080069.
Texto completoKothari, Kushal, Ajay Arjunwadkar, Hitesh Bhalerao y Savita Lade. "Fine-Grained Identification of Clothing Apparels". International Journal for Research in Applied Science and Engineering Technology 10, n.º 4 (30 de abril de 2022): 3168–71. http://dx.doi.org/10.22214/ijraset.2022.42022.
Texto completoMa, Kai, Ming-Jun Nie, Sen Lin, Jianlei Kong, Cheng-Cai Yang y Jinhao Liu. "Fine-Grained Pests Recognition Based on Truncated Probability Fusion Network via Internet of Things in Forestry and Agricultural Scenes". Algorithms 14, n.º 10 (30 de septiembre de 2021): 290. http://dx.doi.org/10.3390/a14100290.
Texto completoLiu, Haipeng, Jiangtao Wang, Yayuan Geng, Kunwei Li, Han Wu, Jian Chen, Xiangfei Chai, Shaolin Li y Dingchang Zheng. "Fine-Grained Assessment of COVID-19 Severity Based on Clinico-Radiological Data Using Machine Learning". International Journal of Environmental Research and Public Health 19, n.º 17 (26 de agosto de 2022): 10665. http://dx.doi.org/10.3390/ijerph191710665.
Texto completoHirota, Katsuya, Tomoko Ariga, Masahiro Hino, Go Ichikawa, Shinsuke Kawasaki, Masaaki Kitaguchi, Kenji Mishima, Naoto Muto, Naotaka Naganawa y Hirohiko M. Shimizu. "Neutron Imaging Using a Fine-Grained Nuclear Emulsion". Journal of Imaging 7, n.º 1 (5 de enero de 2021): 4. http://dx.doi.org/10.3390/jimaging7010004.
Texto completoFerrara, Pasquale, Tiziano Bianchi, Alessia De Rosa y Alessandro Piva. "Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts". IEEE Transactions on Information Forensics and Security 7, n.º 5 (octubre de 2012): 1566–77. http://dx.doi.org/10.1109/tifs.2012.2202227.
Texto completoWang, Lei. "Cartoon-Style Image Rendering Transfer Based on Neural Networks". Computational Intelligence and Neuroscience 2022 (16 de julio de 2022): 1–10. http://dx.doi.org/10.1155/2022/2958338.
Texto completoC. Burkapalli, Vishwanath y Priyadarshini C. Patil. "Food image segmentation using edge adaptive based deep-CNNs". International Journal of Intelligent Unmanned Systems 8, n.º 4 (23 de diciembre de 2019): 243–52. http://dx.doi.org/10.1108/ijius-09-2019-0053.
Texto completoMuneem, Abdul, Junya Yoshida, Hiroyuki Ekawa, Masahiro Hino, Katsuya Hirota, Go Ichikawa, Ayumi Kasagi et al. "Investigation of neutron imaging applications using fine-grained nuclear emulsion". Journal of Applied Physics 133, n.º 5 (7 de febrero de 2023): 054902. http://dx.doi.org/10.1063/5.0131098.
Texto completoChemock, Richard S. "Application of an image management system in microscopy". Proceedings, annual meeting, Electron Microscopy Society of America 50, n.º 2 (agosto de 1992): 1052–53. http://dx.doi.org/10.1017/s0424820100129899.
Texto completoWang, Shijie, Haojie Li, Zhihui Wang y Wanli Ouyang. "Dynamic Position-aware Network for Fine-grained Image Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 2791–99. http://dx.doi.org/10.1609/aaai.v35i4.16384.
Texto completoIbrahim, Hussein A. H., John R. Kender y David Elliot Shaw. "Low-level image analysis tasks on fine-grained tree-structured SIMD machines". Journal of Parallel and Distributed Computing 4, n.º 6 (diciembre de 1987): 546–74. http://dx.doi.org/10.1016/0743-7315(87)90030-x.
Texto completoKuchařová, Aneta, Jens Götze, Šárka Šachlová, Zdeněk Pertold y Richard Přikryl. "Microscopy and Cathodoluminescence Spectroscopy Characterization of Quartz Exhibiting Different Alkali–Silica Reaction Potential". Microscopy and Microanalysis 22, n.º 1 (21 de enero de 2016): 189–98. http://dx.doi.org/10.1017/s1431927615015524.
Texto completoCucchiara, Rita y Matteo Fabbri. "Fine-grained Human Analysis under Occlusions and Perspective Constraints in Multimedia Surveillance". ACM Transactions on Multimedia Computing, Communications, and Applications 18, n.º 1s (28 de febrero de 2022): 1–23. http://dx.doi.org/10.1145/3476839.
Texto completoKong, Jianlei, Chengcai Yang, Yang Xiao, Sen Lin, Kai Ma y Qingzhen Zhu. "A Graph-Related High-Order Neural Network Architecture via Feature Aggregation Enhancement for Identification Application of Diseases and Pests". Computational Intelligence and Neuroscience 2022 (26 de mayo de 2022): 1–16. http://dx.doi.org/10.1155/2022/4391491.
Texto completoQin, RuoXi, Zhenzhen Wang, LingYun Jiang, Kai Qiao, Jinjin Hai, Jian Chen, Junling Xu, Dapeng Shi y Bin Yan. "Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism". Complexity 2020 (20 de enero de 2020): 1–12. http://dx.doi.org/10.1155/2020/6153657.
Texto completoZhang, Xiuwei, Yang Zhou, Jiaojiao Jin, Yafei Wang, Minhao Fan, Ning Wang y Yanning Zhang. "ICENETv2: A Fine-Grained River Ice Semantic Segmentation Network Based on UAV Images". Remote Sensing 13, n.º 4 (10 de febrero de 2021): 633. http://dx.doi.org/10.3390/rs13040633.
Texto completoLin, Zhouchen, Junfeng He, Xiaoou Tang y Chi-Keung Tang. "Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis". Pattern Recognition 42, n.º 11 (noviembre de 2009): 2492–501. http://dx.doi.org/10.1016/j.patcog.2009.03.019.
Texto completoHong, Xianbin, Sheng-Uei Guan, Nian Xue, Zhen Li, Ka Lok Man, Prudence W. H. Wong y Dawei Liu. "Dual-Track Lifelong Machine Learning-Based Fine-Grained Product Quality Analysis". Applied Sciences 13, n.º 3 (17 de enero de 2023): 1241. http://dx.doi.org/10.3390/app13031241.
Texto completoPark, Myeong-heom, Akinobu Shibata y Nobuhiro Tsuji. "Effect of Grain Size on Mechanical Properties of Dual Phase Steels Composed of Ferrite and Martensite". MRS Advances 1, n.º 12 (2016): 811–16. http://dx.doi.org/10.1557/adv.2016.230.
Texto completoXu, Xing, Yifan Wang, Yixuan He, Yang Yang, Alan Hanjalic y Heng Tao Shen. "Cross-Modal Hybrid Feature Fusion for Image-Sentence Matching". ACM Transactions on Multimedia Computing, Communications, and Applications 17, n.º 4 (30 de noviembre de 2021): 1–23. http://dx.doi.org/10.1145/3458281.
Texto completoYang, Jiachen, Yue Yang, Yang Li, Shuai Xiao y Sezai Ercisli. "Image Information Contribution Evaluation for Plant Diseases Classification via Inter-Class Similarity". Sustainability 14, n.º 17 (1 de septiembre de 2022): 10938. http://dx.doi.org/10.3390/su141710938.
Texto completoMatuszek, Dominika Barbara y Łukasz Andrzej Biłos. "Computer Image Analysis as a Method of Evaluating the Quality of Selected Fine-Grained Food Mixtures". Sustainability 13, n.º 6 (10 de marzo de 2021): 3018. http://dx.doi.org/10.3390/su13063018.
Texto completoKaravarsamis, Sotiris, Nikos Ntarmos, Konstantinos Blekas y Ioannis Pitas. "Detecting Pornographic Images by Localizing Skin ROIs". International Journal of Digital Crime and Forensics 5, n.º 1 (enero de 2013): 39–53. http://dx.doi.org/10.4018/jdcf.2013010103.
Texto completoChen, Junwen, Zhiyi Chen, Simiao Tao y Jing Xia. "Fine-grained Vehicle Classification Based on Feature Augmentation". Journal of Physics: Conference Series 2404, n.º 1 (1 de diciembre de 2022): 012041. http://dx.doi.org/10.1088/1742-6596/2404/1/012041.
Texto completoWang, Libo, Rui Li, Dongzhi Wang, Chenxi Duan, Teng Wang y Xiaoliang Meng. "Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images". Remote Sensing 13, n.º 16 (4 de agosto de 2021): 3065. http://dx.doi.org/10.3390/rs13163065.
Texto completoKnight, R. Klassen, P. Hunt, R. "Mineralogy of fine-grained sediment by energy-dispersive spectrometry (EDS) image analysis a methodology". Environmental Geology 42, n.º 1 (1 de mayo de 2002): 32–40. http://dx.doi.org/10.1007/s00254-002-0538-7.
Texto completoJiang, Xuexia, Tadamoto Isogai, Joseph Chi y Gaudenz Danuser. "Fine-grained, nonlinear registration of live cell movies reveals spatiotemporal organization of diffuse molecular processes". PLOS Computational Biology 18, n.º 12 (30 de diciembre de 2022): e1009667. http://dx.doi.org/10.1371/journal.pcbi.1009667.
Texto completoWenk, Hans-Rudolf, Luca Lutterotti, Pamela Kaercher, Waruntorn Kanitpanyacharoen, Lowell Miyagi y Roman Vasin. "Rietveld texture analysis from synchrotron diffraction images. II. Complex multiphase materials and diamond anvil cell experiments". Powder Diffraction 29, n.º 3 (15 de mayo de 2014): 220–32. http://dx.doi.org/10.1017/s0885715614000360.
Texto completoPark, M. H., Y. Tagusari y N. Tsuji. "Characterization of local deformation and fracture behavior in ferrite + martensite dual-phase steels having different grain sizes". IOP Conference Series: Materials Science and Engineering 1249, n.º 1 (1 de julio de 2022): 012041. http://dx.doi.org/10.1088/1757-899x/1249/1/012041.
Texto completoDmitrieva, Maria A., Alina D. Kogai, Vladimir N. Leitsin, Aleksandr O. Tovpinets y Maria V. Shinyaeva. "An experimental and theoretical approach to assessing the structure of fine-grained modified concretes". Vestnik MGSU, n.º 1 (enero de 2023): 70–81. http://dx.doi.org/10.22227/1997-0935.2023.1.70-81.
Texto completoYan, Rui, Zhidong Yang, Jintao Li, Chunhou Zheng y Fa Zhang. "Divide-and-Attention Network for HE-Stained Pathological Image Classification". Biology 11, n.º 7 (29 de junio de 2022): 982. http://dx.doi.org/10.3390/biology11070982.
Texto completoDong, Qi, Xiatian Zhu y Shaogang Gong. "Single-Label Multi-Class Image Classification by Deep Logistic Regression". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 3486–93. http://dx.doi.org/10.1609/aaai.v33i01.33013486.
Texto completoHoeser, Thorsten, Felix Bachofer y Claudia Kuenzer. "Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review—Part II: Applications". Remote Sensing 12, n.º 18 (18 de septiembre de 2020): 3053. http://dx.doi.org/10.3390/rs12183053.
Texto completoHossain, Sanoar, Saiyed Umer, Ranjeet Kr Rout y M. Tanveer. "Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling". Applied Soft Computing 134 (febrero de 2023): 109997. http://dx.doi.org/10.1016/j.asoc.2023.109997.
Texto completoHao, Xia, Man Zhang, Tianru Zhou, Xuchao Guo, Federico Tomasetto, Yuxin Tong y Minjuan Wang. "An Automatic Light Stress Grading Architecture Based on Feature Optimization and Convolutional Neural Network". Agriculture 11, n.º 11 (11 de noviembre de 2021): 1126. http://dx.doi.org/10.3390/agriculture11111126.
Texto completoRichardson, Ian Reginald, David Neil Chapman y Stephen Brown. "Relating Failure Tests Performed in Hollow Cylinder Apparatus to Inherent Anisotropy". Transportation Research Record: Journal of the Transportation Research Board 1526, n.º 1 (enero de 1996): 149–56. http://dx.doi.org/10.1177/0361198196152600119.
Texto completoWang, Jian, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin y Yen-Wei Chen. "Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images". International Journal of Biomedical Imaging 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/1413297.
Texto completoDearnley, R. "Effects of resolution on the measurement of grain ‘size’". Mineralogical Magazine 49, n.º 353 (septiembre de 1985): 539–46. http://dx.doi.org/10.1180/minmag.1985.049.353.07.
Texto completoImae, Naoya. "Cometary dust in Antarctic micrometeorites". Proceedings of the International Astronomical Union 8, S288 (agosto de 2012): 123–29. http://dx.doi.org/10.1017/s1743921312016766.
Texto completoHui, Ruan. "Video Content Analysis of Human Sports under Engineering Management Incorporating High-Level Semantic Recognition Models". Computational Intelligence and Neuroscience 2022 (12 de enero de 2022): 1–12. http://dx.doi.org/10.1155/2022/6761857.
Texto completoFieraru, Mihai, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru y Cristian Sminchisescu. "Learning Complex 3D Human Self-Contact". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 2 (18 de mayo de 2021): 1343–51. http://dx.doi.org/10.1609/aaai.v35i2.16223.
Texto completoWang, Linfeng, Heng Wan, Deqing Huang, Jiayao Liu, Xuliang Tang y Linfeng Gan. "Sustainable Analysis of Insulator Fault Detection Based on Fine-Grained Visual Optimization". Sustainability 15, n.º 4 (14 de febrero de 2023): 3456. http://dx.doi.org/10.3390/su15043456.
Texto completoZhao, Ling, Li Luo, Bo Li, Liyan Xu, Jiawei Zhu, Silu He y Haifeng Li. "Analysis of the Uniqueness and Similarity of City Landscapes Based on Deep Style Learning". ISPRS International Journal of Geo-Information 10, n.º 11 (29 de octubre de 2021): 734. http://dx.doi.org/10.3390/ijgi10110734.
Texto completoLu, Chenggang, Zhitao Guo, Jinli Yuan, Kewen Xia y Hengyong Yu. "Fine-grained calibrated double-attention convolutional network for left ventricular segmentation". Physics in Medicine & Biology 67, n.º 5 (3 de marzo de 2022): 055013. http://dx.doi.org/10.1088/1361-6560/ac5570.
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