Zobrazeno 1 - 10
of 1 384
pro vyhledávání: '"deformable convolution"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The continuous advancement of autonomous driving technology imposes higher demands on the accuracy of target detection in complex environments, particularly when traffic targets are occluded. Existing algorithms still face significant challe
Externí odkaz:
https://doaj.org/article/5b88c25ebbeb4176bd2b9b965300e346
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract In response to the challenges of target misidentification, missed detection, and other issues arising from severe light attenuation, low visibility, and complex environments in current underwater target detection, we propose a lightweight lo
Externí odkaz:
https://doaj.org/article/e138211b33a74249827aa81880eb2c90
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 19, Iss 5, Pp 200-207 (2024)
ObjectiveThis paper proposes a lightweight remote sensing ship target detection algorithm LR-YOLO based on improved YOLOv5s to meet the lightweight and fast inference requirements of ship target detection tasks involving remote sensing images. Method
Externí odkaz:
https://doaj.org/article/c17f0a496193402da48895a65dc798f0
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 6, Iss 5, Pp 408-420 (2024)
Background: Document images such as statistical reports and scientific journals are widely used in information technology. Accurate detection of table areas in document images is an essential prerequisite for tasks such as information extraction. How
Externí odkaz:
https://doaj.org/article/021f2fa5ce804db8ace4b1034398930f
Autor:
Yuqi Ma, Shanxiong Chen, Yongbo Li, Jingliu He, Qiuyue Ruan, Wenjun Xiao, Hailing Xiong, XiaoLiang Li
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-17 (2024)
Abstract The Dongba manuscripts are a unique primitive pictographic writing system that originated among the Naxi people of Lijiang, China, boasting over a thousand years of history. The uniqueness of the Dongba manuscripts stems from their pronounce
Externí odkaz:
https://doaj.org/article/9f75d6b711a9494db438f8af3edfa7d8
Publikováno v:
智慧农业, Vol 6, Iss 2, Pp 107-117 (2024)
ObjectiveCurrently, the lack of computerized systems to monitor the quality of cabbage transplants is a notable shortcoming in the agricultural industry, where transplanting operations play a crucial role in determining the overall yield and quality
Externí odkaz:
https://doaj.org/article/9fc9b15d509b48189194c62db0c28ef1
Autor:
Mohamed Yacin Sikkandar, Sankar Ganesh Sundaram, Ahmad Alassaf, Ibrahim AlMohimeed, Khalid Alhussaini, Adham Aleid, Salem Ali Alolayan, P. Ramkumar, Meshal Khalaf Almutairi, S. Sabarunisha Begum
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Polyp detection is a challenging task in the diagnosis of Colorectal Cancer (CRC), and it demands clinical expertise due to the diverse nature of polyps. The recent years have witnessed the development of automated polyp detection systems to
Externí odkaz:
https://doaj.org/article/12faaca63b514f9880d9d672e683475c
Autor:
Langkun Jiang, Li Wu
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102856- (2024)
Amid a growing global focus on ecological conservation and biodiversity monitoring, the efficient identification and tracking of wildlife are essential for environmental research, wildlife protection, and habitat management. Nevertheless, intricate l
Externí odkaz:
https://doaj.org/article/74e7ed0c71fd415089d9397d5489dcd9
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35698- (2024)
Existing medical image segmentation methods may only consider feature extraction and information processing in spatial domain, or lack the design of interaction between frequency information and spatial information, or ignore the semantic gaps betwee
Externí odkaz:
https://doaj.org/article/fbab119db95747a0a473bc4d2c73e802
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
The application of computer vision in fish identification facilitates researchers and managers to better comprehend and safeguard the aquatic ecological environment. Numerous researchers have harnessed deep learning methodologies for studying fish sp
Externí odkaz:
https://doaj.org/article/f0b58439a73f4c448257931bc414936d