方法证据记录
Segment Anything Model
Segment Anything Model (SAM) is a foundation model introduced by Kirillov et al. in 2023 that can segment any object in an image given various forms of prompts. SAM is trained on a massive dataset of diverse images and learns to segment objects based on minimal user input such as points, boxes, or text descriptions.
源记录
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A Foundation Model for Image Segmentation
分类方法记录 · ml-model / deep-learning
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