The cases arose from challenges to Idaho and West Virginia laws barring transgender women and girls from participating on female-designated athletic teams at public secondary schools and postsecondary ...
Abstract: With the advancement of deep learning techniques, deep neural networks have progressively supplanted traditional machine learning methods for hyperspectral image (HSI) classification, ...
Implementation of the MCNN-14 model for fashion image classification, achieving 93.08% accuracy on Fashion-MNIST. Based on our paper “An Efficient Multiple Convolutional Neural Network Model (MCNN-14) ...
In the past decade, (bio)archaeology has seen a revitalisation and interest in issues surrounding gender, sex, and sexuality. Theoretical critiques from ...
Abstract: Fine-grained visual categorization (FGVC) presents a notable challenge owing to the high intra-class variance and minimal inter-class variability. In multi-stage FGVC tasks, the initial ...
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