GitHub

LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis

This repository provides the pytorch code for the paper "LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis" by Yong Xuan Tan, Jit Yan Lim, Kian Ming Lim, ...
IEEE

Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation

Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...
Frontiers

Use of augmented reality with image fusion to facilitate surgical stoma creation: an IDEAL stage 2A case series

Introduction: Augmented reality (AR) has been increasingly applied to surgical procedures in fixed anatomical organs like brain, bones, aorta and kidneys, enabling image-guided precision, but ...
IEEE

MCDGMatch: Multilevel Consistency Based on Data-Augmented Generalization for Remote Sensing Image Classification

Abstract: The exponential growth of remote sensing image data and the high cost of manual annotation have led to insufficient labeled data, limiting classification performance. Semi-supervised methods ...