Results 31 to 40 of about 79,319 (254)
Object Detection Based on the GrabCut Method for Automatic Mask Generation
Micromachines, 2022 The Mask R-CNN-based object detection method is typically very time-consuming and laborious since it involves obtaining the required target object masks during training.
Hao Wu +3 more
doaj +1 more source
Improvements to deep convolutional neural networks for LVCSR [PDF]
, 2013 Deep Convolutional Neural Networks (CNNs) are more powerful than Deep Neural Networks (DNN), as they are able to better reduce spectral variation in the input signal.
Aravkin, Aleksandr Y. +8 more
core +1 more source
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
openaire +1 more source
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
Accident Detection Using Mask R-CNN
International Journal for Modern Trends in Science and Technology, 2021 Deep learning is an artificial intelligence function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning and recognizing patterns from data that is unstructured or unlabeled ...
openaire +1 more source
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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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
doaj +1 more source
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
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