المؤلفون: Zhixin Shu, Yijun Li, Federico Perazzi, Yuchen Liu, Zhe Lin, Sun-Yuan Kung

المصدر: CVPR

مصطلحات موضوعية: I.4.0, FOS: Computer and information sciences, Edge device, Computer science, Image quality, business.industry, I.2.6, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Image editing, computer.software_genre, FLOPS, Visualization, Computer engineering, Artificial intelligence, Pruning (decision trees), Focus (optics), business, computer, Communication channel

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce2fa2313b1ec581888021781df466ba

المؤلفون: Tongxue Zhou, Stéphane Canu, Su Ruan

المساهمون: Equipe Apprentissage (DocApp - LITIS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Université Le Havre Normandie (ULH), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)

المصدر: Array, Vol 3, Iss, Pp-(2019)
IEEE International Symposium on Phased Array Systems & Technology
IEEE International Symposium on Phased Array Systems & Technology, 2019, 3-4, pp.100004. ⟨10.1016/j.array.2019.100004⟩

مصطلحات موضوعية: Multi-modality fusion, FOS: Computer and information sciences, Computer Science - Machine Learning, lcsh:Computer engineering. Computer hardware, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, lcsh:TK7885-7895, Machine Learning (stat.ML), 02 engineering and technology, Review, Machine learning, computer.software_genre, lcsh:QA75.5-76.95, 030218 nuclear medicine & medical imaging, Multimodality, Machine Learning (cs.LG), 03 medical and health sciences, 0302 clinical medicine, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Medical imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, FOS: Electrical engineering, electronic engineering, information engineering, Segmentation, ComputingMilieux_MISCELLANEOUS, Network architecture, Contextual image classification, business.industry, Deep learning, Image and Video Processing (eess.IV), General Medicine, Image segmentation, Electrical Engineering and Systems Science - Image and Video Processing, Medical image segmentation, Object detection, 3. Good health, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electronic computers. Computer science, business, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ee12504a6617fa688c707c34074082b

المؤلفون: Fahad Shahbaz Khan, Patrik Tosteberg, Martin Danelljan, Felix Järemo Lawin, Michael Felsberg, Goutam Bhat

المصدر: Computer Analysis of Images and Patterns ISBN: 9783319646886
CAIP (1)
2017 International Conference on Computer Analysis of Images and Patterns
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Analysis of Images and Patterns

مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0211 other engineering and technologies, Point cloud, 02 engineering and technology, Machine learning, computer.software_genre, Multi-stream deep networks, Field (computer science), Datorteknik, Image (mathematics), Datorseende och robotik (autonoma system), 0202 electrical engineering, electronic engineering, information engineering, Segmentation, Computer Engineering, Projective test, Image resolution, Computer Vision and Robotics (Autonomous Systems), 021101 geological & geomatics engineering, business.industry, Deep learning, 020207 software engineering, Semantic segmentation, Artificial intelligence, Point clouds, business, computer

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b1fe8d1a75eeef50b8baf134738017b

المؤلفون: Amr Suleiman, Yu-Hsin Chen, Joel Emer, Vivienne Sze

المساهمون: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology. Microsystems Technology Laboratories, Sze, Vivienne, Suleiman, Amr AbdulZahir, Chen, Yu-Hsin, Emer, Joel S

المصدر: arXiv
Sze
ISCAS

مصطلحات موضوعية: 010302 applied physics, FOS: Computer and information sciences, business.industry, Computer science, Deep learning, Computer Vision and Pattern Recognition (cs.CV), Feature extraction, Computer Science - Computer Vision and Pattern Recognition, Robotics, Energy consumption, 010501 environmental sciences, Machine learning, computer.software_genre, 01 natural sciences, Convolutional neural network, Histogram of oriented gradients, Computer engineering, Histogram, 0103 physical sciences, Artificial intelligence, business, computer, Wearable technology, 0105 earth and related environmental sciences

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f7bb6cab12786b61c09e497c43117b5