Yunchao Wei

Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation

2024 · arXiv (Cornell University)

Weakly-Supervised Semantic Segmentation (WSSS) aims to train segmentation models by weak labels, which is receiving significant attention due to its low annotation cost. Existing approaches focus on generating pseudo labels for supervision while largely ignoring …

Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Zero-shot learning (ZSL) endeavors to transfer knowledge from the seen categories to recognize unseen categories, which mostly relies on the semantic-visual interactions between image and attribute tokens. Recently, the prompt learning has emerged in ZSL …