Zobrazeno 1 - 10
of 288
pro vyhledávání: '"Semantic-aware"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Medical imaging is indispensable for accurate diagnosis and effective treatment, with modalities like MRI and CT providing diverse yet complementary information. Traditional image fusion methods, while essential in consolidating information
Externí odkaz:
https://doaj.org/article/045d2abfad304192b06532377f18c073
Publikováno v:
IEEE Access, Vol 12, Pp 134874-134887 (2024)
Recently, RGBT tracking methods have been widely applied in visual tracking tasks owing to the complementarity of visible and thermal infrared images. However, in most RGBT trackers, since feature extraction network is not specifically trained for th
Externí odkaz:
https://doaj.org/article/e9c3d7f44e794a6f9db000ce86d1e448
Publikováno v:
IEEE Access, Vol 12, Pp 72408-72419 (2024)
The single image super-resolution based on deep learning has achieved extraordinary performance. However, due to inevitable environmental or technological limitations, some images not only have low resolution but also low brightness. The existing sup
Externí odkaz:
https://doaj.org/article/0031a8d49ee4429fa193ebacd6016625
Publikováno v:
Computers, Vol 13, Iss 8, p 203 (2024)
Despite the widely reported potential of deep neural networks for automated breast tumor classification and detection, these models are vulnerable to adversarial attacks, which leads to significant performance degradation on different datasets. In th
Externí odkaz:
https://doaj.org/article/d9876364a07b41498b4aec60c20252e6
Autor:
Lingfeng Xu, Qiang Zou
Publikováno v:
Sensors, Vol 24, Iss 11, p 3665 (2024)
The aim of infrared and visible image fusion is to generate a fused image that not only contains salient targets and rich texture details, but also facilitates high-level vision tasks. However, due to the hardware limitations of digital cameras and o
Externí odkaz:
https://doaj.org/article/2b7a4047f11b4ba9914e2919afcd5f76
Publikováno v:
IEEE Access, Vol 11, Pp 11587-11600 (2023)
Most recent face deblurring methods have leveraged the distribution modeling ability of generative adversarial networks (GANs) to impose a constraint that the deblurred image should follow the distribution of sharp ground-truth images. However, gener
Externí odkaz:
https://doaj.org/article/34ed067870464225bd2988d11daa6e96
Publikováno v:
PeerJ Computer Science, Vol 9, p e1592 (2023)
Fuzzing has become an important method for finding vulnerabilities in software. For fuzzing programs expecting structural inputs, syntactic- and semantic-aware fuzzing approaches have been particularly proposed. However, they still cannot fuzz in-mem
Externí odkaz:
https://doaj.org/article/25e8f230a42f4438ab8ee74686b08e4c
Autor:
Xuanyuan Xie, Jieyu Zhao
Publikováno v:
Algorithms, Vol 17, Iss 3, p 125 (2024)
The diffusion model has made progress in the field of image synthesis, especially in the area of conditional image synthesis. However, this improvement is highly dependent on large annotated datasets. To tackle this challenge, we present the Guided D
Externí odkaz:
https://doaj.org/article/cb9fb7f4bad542e6b45906345061f758
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