Zobrazeno 1 - 10
of 539
pro vyhledávání: '"synthetic image"'
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102909- (2024)
The Indo-Pacific bottlenose dolphin (IPBD) (Tursiops aduncus) is a key species in marine ecosystems. Photo-identification (photo-ID) is a fundamental method for studying dolphin populations by identifying individuals based on the unique features of t
Externí odkaz:
https://doaj.org/article/c5ee44918938493494d7b9f543984b20
Autor:
Hangaragi, Shivalila a, Neelima, N. a, Venugopal, Vivek a, Ganguly, Somnath b, c, Mudi, Joyti c, Choi, Joon-Ho b, ⁎
Publikováno v:
In Alexandria Engineering Journal March 2025 115:343-354
Publikováno v:
PeerJ Computer Science, Vol 10, p e2127 (2024)
In recent years, the field of artificial intelligence has witnessed a remarkable surge in the generation of synthetic images, driven by advancements in deep learning techniques. These synthetic images, often created through complex algorithms, closel
Externí odkaz:
https://doaj.org/article/cade7d1a24ae47fab19955fad265cf56
Publikováno v:
IEEE Access, Vol 12, Pp 62609-62627 (2024)
Recent advancements in artificial intelligence (AI) have revolutionized the field of image generation. This has concurrently escalated social problems and concerns related to AI image generation, underscoring the necessity for an effective AI-generat
Externí odkaz:
https://doaj.org/article/2d4307a2bc41477a8ec6e4fbf710efc8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4379-4391 (2024)
Satellite-based remote sensing images are essential for Earth surface analysis, serving diverse purposes in both civilian and military domains. Satellite images are used for analysis and decision making and are considered a reliable source of informa
Externí odkaz:
https://doaj.org/article/5039f9ff6ef14f1fa97672fca13c8a91
Autor:
Quentin Bammey
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 1-9 (2024)
Synthetically-generated images are getting increasingly popular. Diffusion models have advanced to the stage where even non-experts can generate photo-realistic images from a simple text prompt. They expand creative horizons but also open a Pandora's
Externí odkaz:
https://doaj.org/article/6dfafa784c0147699d3e59ca6f679ce4
Publikováno v:
Algorithms, Vol 17, Iss 9, p 375 (2024)
The emergence of deep learning has sparked notable strides in the quality of synthetic media. Yet, as photorealism reaches new heights, the line between generated and authentic images blurs, raising concerns about the dissemination of counterfeit or
Externí odkaz:
https://doaj.org/article/5cb75272431b481290f0d9c8e9ea5bc5
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 2010 (2024)
Understanding changes of soil organic carbon (SOC) in top layers of croplands and their driving factors is a vital prerequisite in decision-making for maintaining sustainable agriculture. However, high-precision estimation of SOC of croplands at regi
Externí odkaz:
https://doaj.org/article/c70cf1222069457b9c76533c7ee2ccc9
Publikováno v:
Sensors, Vol 24, Iss 11, p 3293 (2024)
Speckle pattern-based remote vibration monitoring has recently become increasingly valuable in industrial, commercial, and medical applications. The dynamic and random nature of speckle patterns offers practical applications for imaging and measureme
Externí odkaz:
https://doaj.org/article/cae901b57b76464fb4969b5c09ae329f
Autor:
Anatol Maier, Christian Riess
Publikováno v:
Journal of Imaging, Vol 10, Iss 5, p 110 (2024)
Generative adversarial networks (GANs) and diffusion models (DMs) have revolutionized the creation of synthetically generated but realistic-looking images. Distinguishing such generated images from real camera captures is one of the key tasks in curr
Externí odkaz:
https://doaj.org/article/a94510b520ab432980c9e2fc64e5fc77