IEEE

AMITA: Attribute-Guided Masked Image-Text Alignment for Multi-Label Image Representation

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 ...
IEEE

BoostXML: Gradient Boosting for Extreme Multilabel Text Classification With Tail Labels

Abstract: Multilabel learning involving hundreds of thousands or even millions of labels is referred to as extreme multilabel learning (XML), in which the labels often follow a power-law distribution ...
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, ...
GitHub

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieval Results in RAG Systems

We propose HtmlRAG, which uses HTML instead of plain text as the format of external knowledge in RAG systems. To tackle the long context brought by HTML, we propose Lossless HTML Cleaning and Two-Step ...