Добірка наукової літератури з теми "Domain adaptation, domain-shift, image classification, neural networks"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Domain adaptation, domain-shift, image classification, neural networks".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Domain adaptation, domain-shift, image classification, neural networks"
Wang, Xiaoqing, and Xiangjun Wang. "Unsupervised Domain Adaptation with Coupled Generative Adversarial Autoencoders." Applied Sciences 8, no. 12 (December 7, 2018): 2529. http://dx.doi.org/10.3390/app8122529.
Повний текст джерелаS. Garea, Alberto S., Dora B. Heras, and Francisco Argüello. "TCANet for Domain Adaptation of Hyperspectral Images." Remote Sensing 11, no. 19 (September 30, 2019): 2289. http://dx.doi.org/10.3390/rs11192289.
Повний текст джерелаZhao, Fangwen, Weifeng Liu, and Chenglin Wen. "A New Method of Image Classification Based on Domain Adaptation." Sensors 22, no. 4 (February 9, 2022): 1315. http://dx.doi.org/10.3390/s22041315.
Повний текст джерелаWang, Jing, Yi He, Wangyi Fang, Yiwei Chen, Wanyue Li, and Guohua Shi. "Unsupervised domain adaptation model for lesion detection in retinal OCT images." Physics in Medicine & Biology 66, no. 21 (October 22, 2021): 215006. http://dx.doi.org/10.1088/1361-6560/ac2dd1.
Повний текст джерелаZhao, Sicheng, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, and Kurt Keutzer. "CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 2620–27. http://dx.doi.org/10.1609/aaai.v33i01.33012620.
Повний текст джерелаZhu, Yi, Xinke Zhou, and Xindong Wu. "Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder." Applied Sciences 13, no. 1 (December 29, 2022): 481. http://dx.doi.org/10.3390/app13010481.
Повний текст джерелаRezvaya, Ekaterina, Pavel Goncharov, and Gennady Ososkov. "Using deep domain adaptation for image-based plant disease detection." System Analysis in Science and Education, no. 2 (2020) (June 30, 2020): 59–69. http://dx.doi.org/10.37005/2071-9612-2020-2-59-69.
Повний текст джерелаMagotra, Arjun, and Juntae Kim. "Neuromodulated Dopamine Plastic Networks for Heterogeneous Transfer Learning with Hebbian Principle." Symmetry 13, no. 8 (July 26, 2021): 1344. http://dx.doi.org/10.3390/sym13081344.
Повний текст джерелаChengqi Zhang*, Ling Guan**, and Zheru Chi. "Introduction to the Special Issue on Learning in Intelligent Algorithms and Systems Design." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 6 (December 20, 1999): 439–40. http://dx.doi.org/10.20965/jaciii.1999.p0439.
Повний текст джерелаWittich, D., and F. Rottensteiner. "ADVERSARIAL DOMAIN ADAPTATION FOR THE CLASSIFICATION OF AERIAL IMAGES AND HEIGHT DATA USING CONVOLUTIONAL NEURAL NETWORKS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W7 (September 16, 2019): 197–204. http://dx.doi.org/10.5194/isprs-annals-iv-2-w7-197-2019.
Повний текст джерелаДисертації з теми "Domain adaptation, domain-shift, image classification, neural networks"
MAGGIOLO, LUCA. "Deep Learning and Advanced Statistical Methods for Domain Adaptation and Classification of Remote Sensing Images". Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1070050.
Повний текст джерелаAhn, Euijoon. "Unsupervised Deep Feature Learning for Medical Image Analysis." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23002.
Повний текст джерелаЧастини книг з теми "Domain adaptation, domain-shift, image classification, neural networks"
Ramarolahy, Rija Tonny Christian, Esther Opoku Gyasi, and Alessandro Crimi. "Classification and Generation of Microscopy Images with Plasmodium Falciparum via Artificial Neural Networks Using Low Cost Settings." In Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 147–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87722-4_14.
Повний текст джерелаGarrido-Munoz, Carlos, Adrián Sánchez-Hernández, Francisco J. Castellanos, and Jorge Calvo-Zaragoza. "Domain Adaptation for Document Image Binarization via Domain Classification." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210289.
Повний текст джерелаТези доповідей конференцій з теми "Domain adaptation, domain-shift, image classification, neural networks"
Liu, Yujie, Xing Wei, Yang Lu, Chong Zhao, and Xuanyuan Qiao. "Source Free Domain Adaptation via Combined Discriminative GAN Model for Image Classification." In 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022. http://dx.doi.org/10.1109/ijcnn55064.2022.9891979.
Повний текст джерелаLi, Zhide, Ken Cheng, Peiwu Qin, Yuhan Dong, Chengming Yang, and Xuefeng Jiang. "Retinal OCT Image Classification Based on Domain Adaptation Convolutional Neural Networks." In 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2021. http://dx.doi.org/10.1109/cisp-bmei53629.2021.9624429.
Повний текст джерелаPostadjian, T., A. Le Bris, H. Sahbi, and C. Malle. "Domain Adaptation for Large Scale Classification of Very High Resolution Satellite Images with Deep Convolutional Neural Networks." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518799.
Повний текст джерелаHu, Tao, Shiliang Sun, Jing Zhao, and Dongyu Shi. "Enhancing Unsupervised Domain Adaptation via Semantic Similarity Constraint for Medical Image Segmentation." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/426.
Повний текст джерела