FUSED-Net: Enhancing Few-Shot Traffic Sign Detection with Unfrozen Parameters, Pseudo-Support Sets, Embedding Normalization, and Domain Adaptation
Automatic Traffic Sign Recognition is paramount in modern transportation systems,
motivating several research endeavors to focus on performance improvement by utilizing …
motivating several research endeavors to focus on performance improvement by utilizing …
Improved Speech Emotion Recognition in Bengali Language using Deep Learning
Speech Emotion Recognition (SER) is an evolving field at the intersection of artificial
intelligence and signal processing. Despite there being notable advancements leveraging …
intelligence and signal processing. Despite there being notable advancements leveraging …
A YOLO-Based Framework for Road Sign Detection and Recognition in the Context of Bangladesh
Road accidents pose a significant global threat, exacerbated by diverse road conditions and
inadequate traffic management systems in Bangladesh. This research addresses these …
inadequate traffic management systems in Bangladesh. This research addresses these …
Desarrollo de un modelo de IA para la detección y el reconocimiento de señales de tráfico en imágenes
G Bobillo Rincón - 2024 - uvadoc.uva.es
Recientemente, los avances en inteligencia artificial y visión por computador han impulsado
el desarrollo de tecnologías innovadoras en varios sectores, entre ellos, la industria …
el desarrollo de tecnologías innovadoras en varios sectores, entre ellos, la industria …
[PDF][PDF] Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
M Ahamed, RB Kabir, TT Dipto, M Al Mushabbir… - researchgate.net
Few-shot learning (FSL) offers a promising solution for classification tasks with limited
labeled examples, offering a valuable solution for languages with limited annotated …
labeled examples, offering a valuable solution for languages with limited annotated …