المؤلفون: Reita Ikenoya, Tomonori Tashiro, Gosuke Ohashi

المصدر: IEEE Access, Vol 12, Pp 66921-66930 (2024)

مصطلحات موضوعية: Video saliency prediction, optical flow, 3D convolutional neural network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10508805/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/ae17ccdc69eb4ba5b4489946a54c89d2

المؤلفون: Zhenhao Sun, Xu Wang, Qiudan Zhang, Jianmin Jiang

المصدر: IEEE Access, Vol 7, Pp 147743-147754 (2019)

مصطلحات موضوعية: Video saliency prediction, eye fixation dataset, 3D residual convolutional neural network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8863376/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/0bb9f39c5e424c80a9e1cbcdbaf99b77

المؤلفون: Concetto Spampinato, Daniela Giordano, Francesco Rundo, Giovanni Bellitto, Simone Palazzo, F. Proietto Salanitri

المصدر: International Journal of Computer Vision. 129:3216-3232

مصطلحات موضوعية: FOS: Computer and information sciences, Normalization (statistics), Source code, Computer science, Computer Vision and Pattern Recognition (cs.CV), media_common.quotation_subject, Computer Science - Computer Vision and Pattern Recognition, Video saliency Prediction, Machine learning, computer.software_genre, Hierarchical database model, Domain (software engineering), Artificial Intelligence, media_common, Domain adaptation, Domain specific learning, Gradient reversal layer, Conspicuity networks, business.industry, Conspicuity maps, Pattern recognition (psychology), Benchmark (computing), Computer Vision and Pattern Recognition, Artificial intelligence, business, computer, Feature learning, Software, Smoothing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::727d0437eb0ae2e9225b8c5e7fbfc9cd
https://doi.org/10.1007/s11263-021-01519-y

المؤلفون: Xu Wang, Zhenhao Sun, Jianmin Jiang, Qiudan Zhang

المصدر: IEEE Access, Vol 7, Pp 147743-147754 (2019)

مصطلحات موضوعية: Visual perception, General Computer Science, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, eye fixation dataset, 02 engineering and technology, Residual, Convolutional neural network, Salience (neuroscience), 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Saliency map, business.industry, Frame (networking), General Engineering, 020206 networking & telecommunications, Pattern recognition, Feature (computer vision), Fixation (visual), Human visual system model, Eye tracking, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, Video saliency prediction, 3D residual convolutional neural network, lcsh:TK1-9971

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb169843a1fe8a88fd44dd153e70fa9
https://ieeexplore.ieee.org/document/8863376/