Results 31 to 40 of about 16,805 (257)
Smart training: Mask R-CNN oriented approach
Expert Systems with Applications, 2021 Abstract This paper is aimed at the usage of an augmented reality assisted system set up on the smart-glasses for training activities. Literature review leads us to a comparison among related technologies, yielding that Mask Regions with Convolutional Neural Network (R-CNN) oriented approach fits the study needs.
Mu-Chun Su +4 more
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MACD R-CNN: An Abnormal Cell Nucleus Detection Method
IEEE Access, 2020 The detection of abnormal cell nuclei is a key technique of the cytopathic automatic screening system, which directly determines the performance of the system. Although the Mask R-CNN which combines target detection and semantic segmentation has achieved
Baoyan Ma +3 more
doaj +1 more source
Frontiers in Biomedical Technologies, 2023 Purpose: Diagnosis of musculoskeletal abnormalities is essential due to more than 1.7 billion people worldwide being affected by musculoskeletal disorders.
Sepideh Amiri +10 more
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Weighted Mask R‐CNN for Improving Adjacent Boundary Segmentation [PDF]
Journal of Sensors, 2021 In the recent era of AI, instance segmentation has significantly advanced boundary and object detection especially in diverse fields (e.g., biological and environmental research). Despite its progress, edge detection amid adjacent objects (e.g., organism cells) still remains intractable.
SungMin Suh +6 more
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Branch Identification and Junction Points Location for Apple Trees Based on Deep Learning
Remote Sensing, 2022 Branch identification is key to the robotic pruning system for apple trees. High identification accuracy and the positioning of junction points between branch and trunk are important prerequisites for pruning with a robotic arm.
Siyuan Tong +5 more
doaj +1 more source
Multi-object detection of iron foreign bodies in scraper conveyor based on improved Mask R-CNN
Gong-kuang zidonghua, 2022 The scraper conveyor is the key transportation equipment in the coal mine. The iron foreign body entering the scraper conveyor will lead to wear and tear, chain breakage, and even cause serious accidents such as production stoppage and personal injury ...
SHI Lingkai +3 more
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Soil Image Segmentation Based on Mask R-CNN
2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE), 2023 4 pages, 5 figures, Published in 2023 3rd International Conference on Consumer Electronics and Computer ...
Yida Chen, Kang Liu, Yi Xin, Xinru Zhao
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Semi-Supervised Deep Learning for Lunar Crater Detection Using CE-2 DOM
Remote Sensing, 2021 Lunar craters are very important for estimating the geological age of the Moon, studying the evolution of the Moon, and for landing site selection. Due to a lack of labeled samples, processing times due to high-resolution imagery, the small number of ...
Sudong Zang +3 more
doaj +1 more source
Object Detection Techniques: A Review
Wasit Journal of Computer and Mathematics Science, 2023 Humans can understand their surroundings clearly because they regularly notice objects in their environment. It is essential for the machine to perceive the surroundings similarly to how humans do in order to make it autonomous and capable of navigating
Widad K. Mohammed +3 more
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Mask R-CNN for quality control of table olives
Multimedia Tools and Applications, 2023 AbstractIn this paper we propose an object detector based on deep learning for scanning samples of table olives. For the construction of the system we have used a Mask R-CNN neural network. This network is able to segment the image providing a mask for each of the olives in the sample from which we can obtain the calibre of the object. In addition, the
Miguel Macías Macías +5 more
openaire +2 more sources