Zobrazeno 1 - 10
of 295
pro vyhledávání: '"Dynamic Head"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract To address the need for automated sorting of synthetic diamonds based on quality in manufacturing enterprises, this study developed a dedicated dataset and an enhanced YOLOv8n model for synthetic diamonds detection and quality evaluation, na
Externí odkaz:
https://doaj.org/article/f518157bb81d4542a9cd847dd62889fa
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract To addresse the problem of poor detection accuracy or even false detection of wildlife caused by rainy environment at night. In this paper, a wildlife target detection algorithm based on improved YOLOX-s network is proposed. Our algorithm co
Externí odkaz:
https://doaj.org/article/f8501e1dff234572809618ee047e8464
Publikováno v:
ICT Express, Vol 10, Iss 3, Pp 673-679 (2024)
Synthetic aperture radar (SAR) is a crucial active imaging technology in remote sensing, offering valuable information for applications like climate monitoring, environmental analysis, and ship surveillance. Ship detection in SAR images remains chall
Externí odkaz:
https://doaj.org/article/8f4e3c1d4a9d4d41bc08cb0bee6f970b
Publikováno v:
IEEE Access, Vol 12, Pp 186819-186835 (2024)
Breast cancer has the highest incidence rate among women worldwide. Early screening and timely treatment can effectively control breast cancer progression and significantly reduce mortality. In this paper, we proposed a method of breast cancer detect
Externí odkaz:
https://doaj.org/article/216ff6d0dc7740e38d0a072297514f9f
Autor:
Bingyan Lin
Publikováno v:
IEEE Access, Vol 12, Pp 126313-126328 (2024)
Wearing a safety helmet is an essential aspect of safety production management. To address the issue of low detection accuracy of existing safety helmet detection algorithms for small targets and complex scenes, we propose the YOLOv8n-ASF-DH model (D
Externí odkaz:
https://doaj.org/article/1769b9532aa741a489e54d7970e364e8
Publikováno v:
IEEE Access, Vol 12, Pp 118214-118226 (2024)
In the recent advancements of recommendation systems, the integration of deep learning models has significantly enhanced prediction accuracy and user experience. This paper introduces a novel model called GRATB, which enhances the existing BERT4Rec f
Externí odkaz:
https://doaj.org/article/5a77b8c91cb441dbb08fd20c63f058a4
Publikováno v:
Sensors, Vol 24, Iss 21, p 6922 (2024)
Objective: Pedestrian detection is very important for the environment perception and safety action of intelligent robots and autonomous driving, and is the key to ensuring the safe action of intelligent robots and auto assisted driving. Methods: In r
Externí odkaz:
https://doaj.org/article/035642af5d5f449c926cbe1ab56ff8dc
Autor:
Yuchao Fang, Huanli Pang
Publikováno v:
Symmetry, Vol 16, Iss 6, p 716 (2024)
In dense scenes, pedestrians often exhibit a variety of symmetrical features, such as symmetry in body contour, posture, clothing, and appearance. However, pedestrian detection poses challenges due to the mutual occlusion of pedestrians and the small
Externí odkaz:
https://doaj.org/article/9e5585897d144aedbd4b9141b57f2d5d
Publikováno v:
Sensors, Vol 24, Iss 9, p 2896 (2024)
In order to efficiently identify early tea diseases, an improved YOLOv8 lesion detection method is proposed to address the challenges posed by the complex background of tea diseases, difficulty in detecting small lesions, and low recognition rate of
Externí odkaz:
https://doaj.org/article/d86498f6dfc543a6a49f942db97267f4
Publikováno v:
IEEE Access, Vol 11, Pp 145853-145868 (2023)
An innovative and improved method for infrared object detection, namely DBD-YOLOv8 (DCN-BiRA-DyHeads-YOLOv8), is presented. The inherent limitations of the YOLOv8 model in scenarios with a low signal-to-noise ratio and complex tasks are addressed, wi
Externí odkaz:
https://doaj.org/article/24846694b6624b3a985e30e156a99cde