Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis

arXiv:2405.00876v1 Announce Type: cross
Abstract: Vision language models (VLMs) have recently emerged and gained the spotlight for their ability to comprehend the dual modality of image and textual data. VLMs such as LLaVA, ChatGPT-4, and Gemini have recently shown impressive performance on tasks such as natural image captioning, visual question answering (VQA), and spatial reasoning. Additionally, a universal segmentation model by Meta AI, Segment Anything Model (SAM) shows unprecedented performance at isolating objects from unforeseen images. Since medical experts, biologists, …

abstract analysis arxiv beyond chatgpt chatgpt-4 cs.ai cs.cv cs.lg data gemini human image language language models llava natural performance role spotlight tasks textual type vision vlms