Results 41 to 50 of about 2,448 (190)
Small Object Detection Method for Bioimages Based on Improved YOLOv8n Model
Integrative Zoology, EarlyView.This study proposes a small object detection method for bioimages based on an improved YOLOv8n model. Experimental results demonstrate that the proposed approach effectively enhances detection precision, recall, and mAP50, offering a novel solution for the technical challenges in biological microscopy research.
Xiaoyu Li +7 more
wiley +1 more source
Research on multi-objective detection method for incomplete information in coal mine underground
Meitan kexue jishuUnderground target detection technology in coal mines is an indispensable component of constructing a smart mine, providing real-time monitoring and recognition capabilities.
Lin SUN +5 more
doaj +1 more source
, 2022 Airway segmentation in computed tomography images can be used to analyze pulmonary diseases, however, manual segmentation is labor intensive and relies on expert knowledge.
Carmo, Diedre +2 more
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Towards population counting of marine mammals based on drone images [PDF]
, 2022 In marine science, there is a need for tools for population counting of species. Through this thesis we aim to achieve the follow three objectives: first, briefly discuss the state-of-the-art object detectors that can be used for the detection of ...
Røkenes, Sigurd
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Textile and colour defect detection using deep learning methods
Coloration Technology, EarlyView.Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
Scalable Joint Detection and Segmentation of Surgical Instruments with Weak Supervision [PDF]
, 2021 Computer vision based models, such as object segmentation, detection and tracking, have the potential to assist surgeons intra-operatively and improve the quality and outcomes of minimally invasive surgery.
Luengo, I +3 more
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Engineering Reports, Volume 8, Issue 3, March 2026.The study uses affine transformation, contrast enhancement, and mosaic masking for image enhancement and introduces the Convolutional NeXt module in YOLOv8 based on masked self‐encoder and response normalization, along with improvements to the convolutional block attention module.
Yu Lei, Zhihao Liang, Jiayun Huang
wiley +1 more source
Application of YOLOv8 Architecture Optimized based on BiFPN in Leather Defect Recognition
Pige Kexue Yu GongchengTraditional image processing methods are difficult to effectively deal with complex backgrounds and defects with different scales. This paper proposed a YOLOv8 architecture optimization strategy that integrates Bidirectional Feature Pyramid Network ...
Hao TANG +3 more
doaj +1 more source
Target detection for remote sensing based on the enhanced YOLOv4 with improved BiFPN
The Egyptian Journal of Remote Sensing and Space Science, 2023 To solve problems for false detection, inadequate regression performance of anchor frames, and the inability to detect small targets in traditional multiscale target detection methods based on YOLOv4, we propose a novel target detection framework named as Enhanced YOLOv4.
Fuzhen Zhu +4 more
openaire +2 more sources
YOLOv5s-BC: An improved YOLOv5s-based method for real-time apple detection
, 2023 To address the issues associated with the existing algorithms for the current apple detection, this study proposes an improved YOLOv5s-based method, named YOLOv5s-BC, for real-time apple detection, in which a series of modifications have been introduced.
Liu, Jingfan, Liu, Zhaobing
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