Clothing classification method based on attention mechanism and transfer learning
Xi'an Gongcheng Daxue xuebaoAimed the low efficiency and low accuracy of clothing image classification, a clothing image classification method based on attention mechanism and transfer learning was proposed.
CHEN Jinguang, HUANG Xiaoju, MA Lili
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Hybrid Deep Learning Model–Based Prediction of Images Related to Cyberbullying
International Journal of Applied Mathematics and Computer Science, 2022 Cyberbullying has become more widespread as a result of the common use of social media, particularly among teenagers and young people. A lack of studies on the types of advice and support available to victims of bullying has a negative impact on ...
Elmezain Mahmoud +3 more
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Towards Analyzing Semantic Robustness of Deep Neural Networks
, 2019 Despite the impressive performance of Deep Neural Networks (DNNs) on various vision tasks, they still exhibit erroneous high sensitivity toward semantic primitives (e.g. object pose). We propose a theoretically grounded analysis for DNN robustness in the
A Fawzi +7 more
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An Empirical Study on Cataract Multiclass Grading Assessment with Slit Lamp Bio-microscope Images Using Neural Network Models [PDF]
International Journal BioautomationCataract, an age-related eye disease, poses a significant ophthalmological public health challenge in both developed and developing nations. Tailoring treatment or surgery plans helps accurately categorise the cataract's developmental stage.
Likhitha D. Atada +2 more
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Deep Learning Based Quality Prediction of Retinal Fundus Images
Current Directions in Biomedical Engineering, 2023 The accuracy of diagnosing and monitoring eye diseases using fundus imaging is strongly dependent on the quality of the images. Poor image quality can result in delays or inaccuracies in diagnosis, thus risking patient health.
Bolla Mounika +2 more
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Food Ingredients Recognition through Multi-label Learning
, 2017 Automatically constructing a food diary that tracks the ingredients consumed can help people follow a healthy diet. We tackle the problem of food ingredients recognition as a multi-label learning problem.
G Tsoumakas +4 more
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Cow Hoof Slippage Detecting Method Based on Enhanced DeepLabCut Model
智慧农业[Objective]The phenomenon of hoof slipping occurs during the walking process of cows, which indicates the deterioration of the farming environment and a decline in the cows' locomotor function.
NIAN Yue, ZHAO Kaixuan, JI Jiangtao
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Improved Image Based Super Resolution and Concrete Crack Prediction Using Pre-Trained Deep Learning Models [PDF]
Journal of Soft Computing in Civil Engineering, 2020 Detection and prediction of cracks play a vital role in the maintenance of concrete structures. The manual instructions result in having images captured from different sources wherein the acquisition of such images into the network may cause an error ...
Karunanithi Sathya +4 more
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Harnessing ResNet50 and SENet for enhanced ankle fracture identification
BMC Musculoskeletal Disorders, 2023 Abstract Background Ankle fractures are prevalent injuries that necessitate precise diagnostic tools. Traditional diagnostic methods have limitations that can be addressed using machine learning techniques, with the potential to improve accuracy and expedite diagnoses.
Hua Wang +4 more
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Fine-Grained Head Pose Estimation Without Keypoints
, 2018 Estimating the head pose of a person is a crucial problem that has a large amount of applications such as aiding in gaze estimation, modeling attention, fitting 3D models to video and performing face alignment.
Chong, Eunji +2 more
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