Abstract: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...
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, ...
Stage-1 Generation: The code in this stage is mainly built on the PyTorch framework. Specifically, it requires PyTorch version 1.10.0 or later, along with the ...
Dec. 29 (UPI) --The Colombian city of Cartagena de Indias has put an end to one of its most iconic tourist images by permanently eliminating horse-drawn carriages in the historic center and the walled ...
The right wanted the left to lighten up on political rhetoric following Charlie Kirk's shooting death, but the violent expression has been coming from the right. Case in point: Indiana state Sen.
Ohio’s attorney general can’t force smoke shops to put labels on certain e-cigarettes under state consumer-protection laws because that’s the purview of the federal government, an Ohio appeals court ...
Abstract: Classification of pathological images is the basis for automatic cancer diagnosis. Despite that deep learning methods have achieved remarkable performance, they heavily rely on labeled data, ...
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