Adapting the Segment Anything Model During Usage in Novel Situations

arXiv:2404.08421v1 Announce Type: new
Abstract: The interactive segmentation task consists in the creation of object segmentation masks based on user interactions. The most common way to guide a model towards producing a correct segmentation consists in clicks on the object and background. The recently published Segment Anything Model (SAM) supports a generalized version of the interactive segmentation problem and has been trained on an object segmentation dataset which contains 1.1B masks. Though being trained extensively and with the explicit purpose …

abstract arxiv cs.cv guide interactions interactive masks novel object sam segment segment anything segment anything model segmentation type usage