Zobrazeno 1 - 10
of 2 423
pro vyhledávání: '"Borji A"'
Recent advances in machine learning are transforming medical image analysis, particularly in cancer detection and classification. Techniques such as deep learning, especially convolutional neural networks (CNNs) and vision transformers (ViTs), are no
Externí odkaz:
http://arxiv.org/abs/2411.00832
Autor:
Borji, Ali
The study conducted by Shumailov et al. (2024) demonstrates that repeatedly training a generative model on synthetic data leads to model collapse. This finding has generated considerable interest and debate, particularly given that current models hav
Externí odkaz:
http://arxiv.org/abs/2410.12954
Autor:
Moskalenko, Andrey, Bryncev, Alexey, Vatolin, Dmitry, Timofte, Radu, Zhan, Gen, Yang, Li, Tang, Yunlong, Liao, Yiting, Lin, Jiongzhi, Huang, Baitao, Moradi, Morteza, Moradi, Mohammad, Rundo, Francesco, Spampinato, Concetto, Borji, Ali, Palazzo, Simone, Zhu, Yuxin, Sun, Yinan, Duan, Huiyu, Cao, Yuqin, Jia, Ziheng, Hu, Qiang, Min, Xiongkuo, Zhai, Guangtao, Fang, Hao, Cong, Runmin, Lu, Xiankai, Zhou, Xiaofei, Zhang, Wei, Zhao, Chunyu, Mu, Wentao, Deng, Tao, Tavakoli, Hamed R.
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provided set of video sequences. Saliency maps are widely exploited in vario
Externí odkaz:
http://arxiv.org/abs/2409.14827
Autor:
Borji, Ali
The primary aim of this manuscript is to underscore a significant limitation in current deep learning models, particularly vision models. Unlike human vision, which efficiently selects only the essential visual areas for further processing, leading t
Externí odkaz:
http://arxiv.org/abs/2407.01782
Autor:
Moradi, Morteza, Moradi, Mohammad, Rundo, Francesco, Spampinato, Concetto, Borji, Ali, Palazzo, Simone
Recent advancements in video saliency prediction (VSP) have shown promising performance compared to the human visual system, whose emulation is the primary goal of VSP. However, current state-of-the-art models employ spatio-temporal transformers trai
Externí odkaz:
http://arxiv.org/abs/2404.03097
Alzheimer's disease is a progressive neurodegenerative disorder that primarily affects cognitive functions such as memory, thinking, and behavior. In this disease, there is a critical phase, mild cognitive impairment, that is really important to be d
Externí odkaz:
http://arxiv.org/abs/2403.15443
Placing applications in mobile edge computing servers presents a complex challenge involving many servers, users, and their requests. Existing algorithms take a long time to solve high-dimensional problems with significant uncertainty scenarios. Ther
Externí odkaz:
http://arxiv.org/abs/2403.11259
Autor:
Borji, Ali
Although extensive research has been carried out to evaluate the effectiveness of AI tools and models in detecting deep fakes, the question remains unanswered regarding whether these models can accurately identify genuine images that appear artificia
Externí odkaz:
http://arxiv.org/abs/2311.10931
Autor:
Javad Khedri, Alireza Sazmand, Soheil Sadr, Mourad Ben Said, Shigehiko Uni, Domenico Otranto, Hassan Borji
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-13 (2024)
Abstract Background In camels, thelaziosis is mainly caused by Thelazia leesei Railliet & Henry, 1910, a little-known eyeworm species. Given the paucity of scientific data, this study aimed to provide new insights into the morphology, molecular chara
Externí odkaz:
https://doaj.org/article/d194a3d6c3cf475c904d8dbb7382ffb0
Autor:
Mehdi Borji, Mehdi Rezaei
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Background The Nishabur region in Iran is an ancient hub for plum production, home to numerous seedling orchards and indigenous plum varieties. In 2020, an evaluation was conducted in the primary plum-growing zones of Nishabur following a ha
Externí odkaz:
https://doaj.org/article/7852e45db8c84209bb12ea36adc29987