The article discusses the development of a novel pipeline for automatic weapon detection using an ensemble of convolutional neural networks. This pipeline was created in response to the increasing prevalence…
Continue readingThe article focuses on Speech Emotion Recognition (SER), an essential tool in enhancing human-computer interaction by understanding emotional states. The authors propose a novel approach that combines self-supervised feature extraction…
Continue readingThis research aims to accurately predict crop yield and select optimal genotypes using deep learning. The researchers created two novel convolutional neural network (CNN) architectures to analyze a dataset of…
Continue readingThis paper focuses on the study of task-oriented grasp synthesis using partial point cloud data. The authors present a method for selecting a grasp so that the object is not…
Continue readingThe paper “Hardwiring ViT Patch Selectivity into CNNs using Patch Mixing” investigates the unique property of Vision Transformers (ViTs) known as “patch selectivity”. This feature enables ViTs to effectively ignore…
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