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Dense Mesh RCNN: assessment of human skin burn and burn depth severity
Accurate assessment and classification of burn severity have gained research interest in burn management, and delays in treatment increase the risk...
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Machining Feature Recognition Method Based on Improved Mesh Neural Network
Machining feature recognition, which bridges computer-aided design (CAD) and computer-aided process planning (CAPP) systems, is the key technology to...
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Improving detection and classification of diabetic retinopathy using CUDA and Mask RCNN
Diabetic retinopathy (DR) is an eye disease caused by diabetes and can progress to certain degrees. Because DR’s the final stage can cause blindness,...
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A new approach to classifying polymer type of microplastics based on Faster-RCNN-FPN and spectroscopic imagery under ultraviolet light
Hazardous compounds from microplastics in coastal and marine environments are adsorbed by live organisms, affecting human and marine life. It takes...
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Robo-vision! 3D mesh generation of a scene for a robot for planar and non-planar complex objects
This paper presents a novel architecture to generate a world model in terms of mesh from a continuous image stream with depth information extracted...
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Optimization of the Stacking Process of Wire Mesh Coils in Industrial Processors
This study proposes to optimise the post-production and storage process of electro-welded mesh rolls in companies in the city of Lima, for which this...
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Self-supervised Human Mesh Recovery with Cross-Representation Alignment
Fully supervised human mesh recovery methods are data-hungry and have poor generalizability due to the limited availability and diversity of...
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Densemask RCNN: A Hybrid Model for Skin Burn Image Classification and Severity Grading
In the medical image processing, automatic segmentation of burn images is one of the critical tasks in the classification of skin burn into normal...
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A Multi-level Mesh Mutual Attention Model for Visual Question Answering
Visual question answering is a complex multimodal task involving images and text, with broad application prospects in human–computer interaction and...
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Joint stereo 3D object detection and implicit surface reconstruction
We present a new learning-based framework S-3D-RCNN that can recover accurate object orientation in SO(3) and simultaneously predict implicit rigid...
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3D Object Reconstruction with Deep Learning
Recent advancements and breakthroughs in deep learning have accelerated the rapid development in the field of computer vision. Having recorded a huge...
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Crop insect pest detection based on dilated multi-scale attention U-Net
BackgroundCrop pests seriously affect the yield and quality of crops. Accurately and rapidly detecting and segmenting insect pests in crop leaves is...
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An improved semantic segmentation with region proposal network for cardiac defect interpretation
Detecting cardiac abnormalities between 14 and 28 weeks of gestation with an apical four-chamber view is a difficult undertaking. Several unfavorable...
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Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN
BackgroundCryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles...
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DAGM-Mono: Deformable Attention-Guided Modeling for Monocular 3D Reconstruction
AbstractAccurate 3D pose estimation and shape reconstruction from monocular images is a challenging task in the field of autonomous driving. Our work...
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Deep learning for diagnosis of head and neck cancers through radiographic data: a systematic review and meta-analysis
PurposeThis study aims to review deep learning applications for detecting head and neck cancer (HNC) using magnetic resonance imaging (MRI) and...
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A Comprehensive Study of the Robustness for LiDAR-Based 3D Object Detectors Against Adversarial Attacks
Recent years have witnessed significant advancements in deep learning-based 3D object detection, leading to its widespread adoption in numerous...
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Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study
Coronary atherosclerosis is a leading cause of morbidity and mortality worldwide. It is often treated by placing stents in the coronary arteries....
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A Framework for Detecting and Extracting Discontinuities Based on Machine Learning
Rock mass discontinuities play a significant role in evaluating the stability of rock slopes. It is necessary to collect and analyze these...
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Research on fabric surface defect detection algorithm based on improved Yolo_v4
In industry, the task of defect classification and defect localization is an important part of defect detection system. However, existing studies...
