Results 191 to 200 of about 14,166 (237)

Heat exchanger pipe orifice recognition using an improved YOLOv5 model integrated with dual attention mechanisms. [PDF]

Sci Rep
Yang R, Zhu Y, Xu B, Dai W, Ji S, Meng D.   +5 more
europepmc   +1 more source

Artificial Intelligence for Esophageal Precancerous Lesions and Esophageal Cancer. [PDF]

Korean J Helicobacter Up Gastrointest Res
Lee H, Han YH, Chung JW, Kim KO, Kwon KA, Kim JH.   +5 more
europepmc   +1 more source

Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images. [PDF]

Sci Rep
Toyama N, Hidaka T, Tamura H, Ikeda Y.
europepmc   +1 more source

MFE-YOLO: A Multi-Scale Feature Enhanced Network for PCB Defect Detection with Cross-Group Attention and FIoU Loss. [PDF]

Entropy (Basel)
Di R, Fan H, Feng H, Lv Z, Shu L, Xie R, Qian R.   +6 more
europepmc   +1 more source

An Open Dataset of Yangtze River Docks Based on OSM and Google Satellite Imagery (2024). [PDF]

Sci Data
Zhou Q, Ren F, Zhang H, Zhang A, Lin H.
europepmc   +1 more source

Contextual image caption creation using object positional embedding and generative models. [PDF]

PLoS One
Danyal M, Roman M, Shahid A, Yahya M.
europepmc   +1 more source

Deep learning framework for timely detection and classification of chili leaf diseases and pests. [PDF]

Sci Rep
Kanaparthi KR, Ilango SS.
europepmc   +1 more source

KPE-YOLOv5: An Improved Small Target Detection Algorithm Based on YOLOv5

Electronics (Switzerland), 2023
At present, the existing methods have many limitations in small target detection, such as low accuracy, a high rate of false detection, and missed detection.
Wenfa Li, Xinna Shang
exaly   +2 more sources

TGC-YOLOv5: An Enhanced YOLOv5 Drone Detection Model Based on Transformer, GAM & CA Attention Mechanism

Drones, 2023
Drone detection is a significant research topic due to the potential security threats posed by the misuse of drones in both civilian and military domains.
Chao Lian, Peng Shan, Yuliang Zhao
exaly   +2 more sources

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DS-YOLOv5: Deformable and Scalable YOLOv5 for Mathematical Formula Detection in Scientific Documents

2021 International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2021
Mathematical formula detection (MFD) is a prerequisite step for the digitization of scientific documents. The MFD task has two key challenges, i.e. a large scale span between embedded formula and isolated formula, and a huge variation of the ratio between height and width.
Minh-Thang Nguyen, Thi-Lan Le, Lan Huong Nguyen Thi, Thu Ha Nguyen   +3 more
openaire   +2 more sources