LISA
LISA employs a large language model to enhance segmentation tasks, particularly in reasoning segmentation through complex and implicit queries. It uses a detailed benchmark of image-instruction pairs, encompassing extensive world knowledge to provide detailed answers and supports multi-turn dialogue. Demonstrating strong zero-shot learning ability, LISA performs well on datasets without reasoning data, and fine-tuning even with limited data boosts its performance. LISA achieved notable recognition at CVPR 2024. Discover LISA's efficiency through our online demo.
