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, ...
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 ...
IEEE

Integrated Domain Augmentation and Structural Content Reconstruction Based Multisource Domain Generalization on Medical Image Segmentation

Abstract: Medical image segmentation methods based on deep learning usually suffer from potential domain shift. To address this problem, the domain generalization (DG) method has been studied. However ...
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".