Abstract: The Segment Anything Model (SAM) is a foundational model that has demonstrated impressive results in the field of natural image segmentation. However, its performance remains suboptimal for ...

Abstract: Recently, vision foundation models have gathered wide attention. Among the many endeavors, the segment anything model (SAM) makes remarkable progress toward a universal model showing ...

Abstract: Prompts play a critical role in unleashing the power of language and vision foundation models for specific tasks. For the first time, we introduce prompting into depth foundation models, ...

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Abstract: Foundation models have marked a significant stride to-ward addressing generalization challenges in deep learning. While the Segment Anything Model (SAM) has established a strong foothold in ...

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Remember those moments when a tech giant throws a curveball, only for the underdog to dodge it with style? That’s exactly what just went down with Anything. For those of you unaware, it’s an ...

Abstract: Medical image segmentation is a critical component in a variety of clinical applications, facilitating accurate diagnosis and treatment planning. The Segment Anything Model (SAM), a deep ...

Apple brought the ban hammer down on an AI-powered iOS app. The Information reported that Apple pulled an app called "Anything" from the App Store. For the unfamiliar, Anything is/was an app based ...

Apple is cracking down on vibe-coded apps, with the Cupertino-based tech giant pulling the app ‘Anythng’ from the App Store last week while citing the self-containment rule from its App Review ...

MapAnything is an open-source research framework for universal metric 3D reconstruction. At its core is a simple, end-to-end trained transformer model that directly regresses the factored metric 3D ...