Zero-Shot Learning

TN-ZSTAD introduces a novel approach to zero-shot temporal activity detection (ZSTAD) in long untrimmed videos. By integrating an activity graph transformer with zero-shot detection techniques, it addresses the challenge of recognizing and localizing …

ZeroNAS presents a differentiable generative adversarial network architecture search method specifically designed for zero-shot learning (ZSL). The approach optimizes both generator and discriminator architectures, leading to significant improvements …