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, ...

Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself.Clear plotting improves when scatte ...

LITTLETON, Colorado, Dec 23 (Reuters) - Like any industry, wind energy has had its good and bad years. But 2025 may be one of the worst: a toxic stew of major policy reversals, corporate upheaval and ...

Abstract: Effective text and label representations are crucial for accurate predictions in Hierarchical Text Classification (HTC). However, existing methods face challenges in capturing relevant label ...

NEW YORK, Dec 19 (Reuters) - AI chip maker Cerebras Systems is preparing to file for a U.S. initial public offering as soon as next week, targeting a second-quarter 2026 listing, people familiar with ...

The food stabilizers market stands at the threshold of a transformative decade, reshaping the food processing and ingredient manufacturing landscape. Valued at USD 3.3 billion in 2025, the market is ...