arxiv Preprint – LISA: Reasoning Segmentation via Large Language Model

In this episode we discuss LISA: Reasoning Segmentation via Large Language Model
by Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia. The paper introduces a new segmentation task called reasoning segmentation and presents a benchmark dataset for evaluating models. They propose LISA, a model that combines language generation with the ability to produce segmentation masks. LISA demonstrates robust zero-shot capability and performs well on both reasoning segmentation and referring segmentation tasks.