DLA+: A Light Aggregation Network for Object Classification and Detection
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Automation and Computing"
DOI: 10.1007/s11633-021-1287-y
Abstract: An efficient convolution neural network (CNN) plays a crucial role in various visual tasks like object classification or detection, etc. The most common way to construct a CNN is stacking the same convolution block or… read more here.
Keywords: classification; network; object classification; classification detection ... See more keywords
Classification, detection, and segmentation performance of image-based AI in intracranial aneurysm: a systematic review
Sign Up to like & getrecommendations! Published in 2024 at "BMC Medical Imaging"
DOI: 10.1186/s12880-024-01347-9
Abstract: Background The detection and management of intracranial aneurysms (IAs) are vital to prevent life-threatening complications like subarachnoid hemorrhage (SAH). Artificial Intelligence (AI) can analyze medical images, like CTA or MRA, spotting nuances possibly overlooked by… read more here.
Keywords: detection; classification; classification detection; detection segmentation ... See more keywords
Research on multi-defects classification detection method for solar cells based on deep learning
Sign Up to like & getrecommendations! Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0304819
Abstract: Solar cells are playing a significant role in aerospace equipment. In view of the surface defect characteristics in the manufacturing process of solar cells, the common surface defects are divided into three categories, which include… read more here.
Keywords: detection; classification; classification detection; solar cells ... See more keywords
Multi-Scale and Multi-Factor ViT Attention Model for Classification and Detection of Pest and Disease in Agriculture
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14135797
Abstract: Agriculture has a crucial impact on the economic, ecological, and social development of the world. More rapid and precise prevention and control work, especially for accurate classification and detection, is required due to the increasing… read more here.
Keywords: multi scale; classification detection; model; vit ... See more keywords
Performance Comparison of Embedded AI Solutions for Classification and Detection in Lung Disease Diagnosis
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DOI: 10.3390/app15179345
Abstract: Lung disease diagnosis from chest X-ray images is a critical task in clinical care, especially in resource-constrained settings where access to radiology expertise and computational infrastructure is limited. Recent advances in deep learning have shown… read more here.
Keywords: classification; detection; classification detection; lung disease ... See more keywords
Research on Automatic Classification and Detection of Mutton Multi-Parts Based on Swin-Transformer
Sign Up to like & getrecommendations! Published in 2023 at "Foods"
DOI: 10.3390/foods12081642
Abstract: In order to realize the real-time classification and detection of mutton multi-part, this paper proposes a mutton multi-part classification and detection method based on the Swin-Transformer. First, image augmentation techniques are adopted to increase the… read more here.
Keywords: swin transformer; detection; mutton multi; classification detection ... See more keywords