Jianwu Li

Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

The goal of this paper is to alleviate the training cost for few-shot semantic segmentation (FSS) models. Despite that FSS in nature improves model generalization to new concepts using only a handful of test exemplars, …