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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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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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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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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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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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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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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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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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Deep learning-based 3D reconstruction: a survey
Image-based 3D reconstruction is a long-established, ill-posed problem defined within the scope of computer vision and graphics. The purpose of...
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Automatic object annotation in streamed and remotely explored large 3D reconstructions
We introduce a novel framework for 3D scene reconstruction with simultaneous object annotation, using a pre-trained 2D convolutional neural network...
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Multitarget Detection Algorithm of UHV Line Fitting Infrared Image Based on YOLOv5
AbstractGansu section of Qishao UHV DC line accounts for 52.4% of the total line length, and manual inspection is time consuming and laborious. This...
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Cloud-Edge Collaboration Based Power IoT Scene Perception Mechanism
Fast and high-quality scene perception is an important guarantee for the efficient, stable and reliable operation of the power Internet of things,...
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Optimizing 3D Object Detection with Data Importance-Based Loss Reweighting
With the advancement of AI technology, deep learning-based intelligent driving assistance systems have seen substantial growth. However, 3D object...
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Human body construction based on combination of parametric and nonparametric reconstruction methods
Nowadays, 3D human models are widely used in the garment industry where it is important to reconstruct compliant human model from scan of the body...
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Single Run Action Detector over Video Stream - A Privacy Preserving Approach
This paper takes initial strides at designing and evaluating a vision-based system for privacy ensured activity monitoring. The proposed technology...
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3D objects reconstruction from frontal images: an example with guitars
This work deals with the automatic 3D reconstruction of objects from frontal RGB images. This aims at a better understanding of the reconstruction of...
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Research on the algorithm of helmet-wearing detection based on the optimized yolov4
At construction sites, wearing hard hats is an important and effective measure to protect workers from accidental injury. In order to remind workers...
