IEEE

Object-Aware Image Augmentation for Audio-Visual Zero-Shot Learning

Abstract: Audio-visual zero-shot learning (ZSL) leverages both video and audio information for model training, aiming to classify new video categories that were not seen during the training. However, ...
IEEE

AFP-IA: Adaptive Foreground Perception-Based Image Augmentation for Insulation Pull Rod Defects Detection

Abstract: The complex background noise in raw insulation pull rod (IPR) images, coupled with the small and inconspicuous nature of many defect regions, often hinders the effective perception of defect ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
GitHub

Local web application providing API and UI for image augmentation, based on the albumentations library

Image augmentation is a technique used in machine learning and computer vision to artificially increase the size and diversity of a dataset by applying various transformations to the original images.
GitHub

Adaptive PID Control for Robotic Systems via Hierarchical Meta-Learning and Reinforcement Learning with Physics-Based Data Augmentation

Official implementation of "Reinforcement Learning-Enhanced Model Predictive Control with Meta-Learning for Online Compensation of Dynamic Model Errors".