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Publikováno v:
IET Computer Vision, Vol 18, Iss 5, Pp 682-695 (2024)
Abstract 3D object detection technology from point clouds has been widely applied in the field of automatic driving in recent years. In practical applications, the shape point clouds of some objects are incomplete due to occlusion or far distance, wh
Externí odkaz:
https://doaj.org/article/5436dadbff9e4541bb040a740f3fdfa3
Publikováno v:
IET Computer Vision, Vol 18, Iss 5, Pp 613-625 (2024)
Abstract X‐ray security checks aim to detect contraband in luggage; however, the detection accuracy is hindered by the overlapping and significant size differences of objects in X‐ray images. To address these challenges, the authors introduce a n
Externí odkaz:
https://doaj.org/article/56da448e52cd48289b049874d3f65989
Publikováno v:
IET Computer Vision, Vol 18, Iss 5, Pp 626-639 (2024)
Abstract The advancement of object detection (OD) in open‐vocabulary and open‐world scenarios is a critical challenge in computer vision. OmDet, a novel language‐aware object detection architecture and an innovative training mechanism that harn
Externí odkaz:
https://doaj.org/article/e38ce624d5cd4297aaad000363e7306b
Publikováno v:
IET Computer Vision, Vol 18, Iss 5, Pp 591-612 (2024)
Abstract Adversarial training suffers from poor effectiveness due to the challenging optimisation of loss with hard labels. To address this issue, adversarial distillation has emerged as a potential solution, encouraging target models to mimic the ou
Externí odkaz:
https://doaj.org/article/5bac78b1767e472e976cc953d0d4d5d4
Publikováno v:
IET Computer Vision, Vol 18, Iss 5, Pp 696-708 (2024)
Abstract Sign Language Production (SLP) refers to the task of translating textural forms of spoken language into corresponding sign language expressions. Sign languages convey meaning by means of multiple asynchronous articulators, including manual a
Externí odkaz:
https://doaj.org/article/f5beca1b805d4a75a375e5b03ea8daf4
Publikováno v:
IET Image Processing, Vol 18, Iss 10, Pp 2679-2689 (2024)
Abstract Image steganography is the art of concealing secret information within images to prevent detection. In deep‐learning‐based image steganography, a common practice is to fuse the secret image with the cover image to directly generate the s
Externí odkaz:
https://doaj.org/article/a086ba2f370b46c6bf7a11b035084c8b
Publikováno v:
IET Image Processing, Vol 18, Iss 10, Pp 2602-2613 (2024)
Abstract Accurate detection of algae in microscopic image plays a crucial role in water quality monitoring. However, the existing object detection methods still face challenges in accurately detecting different categories of algae in microscopic imag
Externí odkaz:
https://doaj.org/article/905376bc79a34931854b6b84d582169e
Publikováno v:
IET Image Processing, Vol 18, Iss 10, Pp 2645-2664 (2024)
Abstract Lip‐reading deciphers speech by observing lip movements without relying on audio data. The rapid advancements in deep learning have significantly improved lip‐reading for both English and Chinese; however, research on dialects such as Ca
Externí odkaz:
https://doaj.org/article/3d329234a2b141738d3d3934f319defb
Publikováno v:
IET Image Processing, Vol 18, Iss 10, Pp 2614-2624 (2024)
Abstract Traditional maritime search and rescue methods mainly rely on manual operation, which takes a long time to identify and results in poor search and rescue results. This paper applies computer vision technology to the field of maritime distres
Externí odkaz:
https://doaj.org/article/6e04fa1e300e44c598177f50bd128f66
Publikováno v:
IET Image Processing, Vol 18, Iss 10, Pp 2774-2787 (2024)
Abstract To effectively enhance the ability to acquire information by making full use of the complementary features of infrared and visible images, the widely used image fusion algorithm is faced with challenges such as information loss and image blu
Externí odkaz:
https://doaj.org/article/6105f03331e4406ebcc44b420d6e0398