Depthwise separable convolutions and variational dropout within the context of YOLOv3

[PDF] lau.edu.lb

Unsupervised extractive text summarization using frequency-based sentence clustering

A Hajjar, J Tekli - European conference on advances in databases and …, 2022 - Springer
Large texts are not always entirely meaningful: they might include repetitions and useless
details, and might not be easy to interpret by humans. Automatic text summarization aims to …
被引用次数：7 相关文章 所有 2 个版本
[PDF] arxiv.org

SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality

J Chakar - arXiv preprint arXiv:2406.12661, 2024 - arxiv.org
Bayesian optimization (BO) has emerged as a powerful tool for navigating complex search
spaces, showcasing practical applications in the fields of science and engineering …
相关文章

Deep Learning Based Model for Stress Measurement in Online Social Networks

A Gaurav, BB Gupta, KT Chui, V Arya - International Conference on …, 2023 - Springer
Abstract Online Social Networks (OSNs) have become ubiquitous platforms for individuals to
express their thoughts and emotions, making them valuable sources for studying mental …
被引用次数：1 相关文章 所有 3 个版本

YOLO-BAM: Integrating CBAM to the YOLOv3 Model for Pedestrian Detection in Images

JC Eclarinal, RB Alampay - Proceedings of the 2023 5th World …, 2023 - dl.acm.org
This study investigates the impact of integrating the Convolutional Block Attention Module
(CBAM) into the YOLOv3 model for pedestrian detection. Through a 50-epoch training …
被引用次数：1 相关文章 所有 2 个版本

Check for updates

A Gaurav¹, BB Gupta, KT Chui, V Arya - Computational Data and Social … - books.google.com
Online Social Networks (OSNs) have become ubiquitous platforms for individuals to express
their thoughts and emotions, making them valuable sources for studying mental health. This …
相关文章