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pro vyhledávání: '"Gharaee"'
Autor:
Gharaee, Zahra, Lowe, Scott C., Gong, ZeMing, Arias, Pablo Millan, Pellegrino, Nicholas, Wang, Austin T., Haurum, Joakim Bruslund, Zarubiieva, Iuliia, Kari, Lila, Steinke, Dirk, Taylor, Graham W., Fieguth, Paul, Chang, Angel X.
As part of an ongoing worldwide effort to comprehend and monitor insect biodiversity, this paper presents the BIOSCAN-5M Insect dataset to the machine learning community and establish several benchmark tasks. BIOSCAN-5M is a comprehensive dataset con
Externí odkaz:
http://arxiv.org/abs/2406.12723
Publikováno v:
Clinical Ophthalmology, Vol Volume 14, Pp 1329-1336 (2020)
Hamid Gharaee, Masoud Jahani, Saeed Banan Eye Research Center, Mashhad University of Medical Sciences, Mashhad, IranCorrespondence: Masoud Jahani Tel +98 9111760280Email Jahani.Masoud@yahoo.comIntroduction: Phacoemulsification cataract surgery presen
Externí odkaz:
https://doaj.org/article/57036af9812b455ebeeba19c6c7d156f
Machine comprehension of visual information from images and videos by neural networks faces two primary challenges. Firstly, there exists a computational and inference gap in connecting vision and language, making it difficult to accurately determine
Externí odkaz:
http://arxiv.org/abs/2403.03994
Learning causal representations from observational and interventional data in the absence of known ground-truth graph structures necessitates implicit latent causal representation learning. Implicit learning of causal mechanisms typically involves tw
Externí odkaz:
http://arxiv.org/abs/2402.11124
Recent state-of-the-art semi-supervised Video Object Segmentation (VOS) methods have shown significant improvements in target object segmentation accuracy when information from preceding frames is used in segmenting the current frame. In particular,
Externí odkaz:
http://arxiv.org/abs/2309.15274
Autor:
Hasan Hosseini, Sina Heydari, Asma Amiri Domari, Rasoul Raesi, Kiavash hushmandi, Reza Faryabi, Masumeh Gharaee, Salman Daneshi
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Fracture of the femur is one of the most common fractures that, if not stabilized and treated properly, may lead to severe disability, impairment of the individual’s efficiency, and numerous complications. This study aimed to ev
Externí odkaz:
https://doaj.org/article/009b5cb4e6474e1ab51e343b3b968b17
Autor:
Hojatolah Gharaee, Mahdi Sadeghi
Publikováno v:
Rāhburdhā-yi Mudīriyyat dar Niẓām-i Salāmat, Vol 9, Iss 2, Pp 100-103 (2024)
Population aging has become a significant phenomenon in the 21st century due to rising life expectancy and declining fertility rates. The global elderly population, estimated at 727 million in 2020, is projected to double by 2050, with developing cou
Externí odkaz:
https://doaj.org/article/25179eb757f14401a811f5b7577a6b9b
Autor:
Gharaee, Zahra, Gong, ZeMing, Pellegrino, Nicholas, Zarubiieva, Iuliia, Haurum, Joakim Bruslund, Lowe, Scott C., McKeown, Jaclyn T. A., Ho, Chris C. Y., McLeod, Joschka, Wei, Yi-Yun C, Agda, Jireh, Ratnasingham, Sujeevan, Steinke, Dirk, Chang, Angel X., Taylor, Graham W., Fieguth, Paul
In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is taxonomically classified by an expert, and also has associated genetic information including raw nu
Externí odkaz:
http://arxiv.org/abs/2307.10455
Conventional supervised learning methods typically assume i.i.d samples and are found to be sensitive to out-of-distribution (OOD) data. We propose Generative Causal Representation Learning (GCRL) which leverages causality to facilitate knowledge tra
Externí odkaz:
http://arxiv.org/abs/2302.08635
This paper describes recent developments in object specific pose and shape prediction from single images. The main contribution is a new approach to camera pose prediction by self-supervised learning of keypoints corresponding to locations on a categ
Externí odkaz:
http://arxiv.org/abs/2302.07360