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, ...
Abstract: Recent advancements in deep learning have high-lighted its significant potential in geophysics. However, a major challenge in practical applications is the limited availability of ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
A comprehensive dataset of tomato images captured in a plant factory environment, designed for object detection and classification tasks. The dataset features micro tomato variety images with ...
A new study from a research team at the Center for Wireless Communications Network and Systems (CWC-NS) at the University of Oulu has introduced an approach using near-infrared (NIR) light beyond ...
Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...
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