A simple image segmentation framework via in-context examples

Y Liu, C **g, H Li, M Zhu, H Chen, X Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Recently, there have been explorations of generalist segmentation models that can
effectively tackle a variety of image segmentation tasks within a unified in-context learning …

Unleashing the potential of the diffusion model in few-shot semantic segmentation

M Zhu, Y Liu, Z Luo, C **g, H Chen, G Xu… - arxiv preprint arxiv …, 2024 - arxiv.org
The Diffusion Model has not only garnered noteworthy achievements in the realm of image
generation but has also demonstrated its potential as an effective pretraining method …

Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data

C Cortes, A Mao, M Mohri, Y Zhong - arxiv preprint arxiv:2502.10381, 2025 - arxiv.org
Class imbalance remains a major challenge in machine learning, especially in multi-class
problems with long-tailed distributions. Existing methods, such as data resampling, cost …