Real-time video segmentation using shared decoder with RAP-SAM

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Real-time video segmentation using shared decoder with RAP-SAM

RAP-SAM: Towards Real-Time All-Purpose Segment Anything
arXiv paper abstract https://arxiv.org/abs/2401.10228
arXiv PDF paper https://arxiv.org/pdf/2401.10228.pdf
GitHub https://github.com/xushilin1/RAP-SAM
Project page https://xushilin1.github.io/rap_sam

… vision foundation models (VFMs) achieve remarkable progress … Segment Anything Model (SAM) is one remarkable model that can achieve generalized segmentation.

However, most VFMs cannot run in realtime, which makes it difficult to transfer them into several products.

… this work explores … segmentation in real-time … contains three different tasks, including interactive segmentation, panoptic segmentation, and video segmentation.

… aim to use one model to achieve the above tasks in real-time … present Real-Time All Purpose SAM (RAP-SAM).

It contains an efficient encoder and an efficient decoupled decoder to perform prompt-driven decoding.

… further explore different training strategies and tuning methods to boost co-training performance further …

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Photo by Scott Webb on Unsplash

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AI News Clips by Morris Lee: News to help your R&D
AI News Clips by Morris Lee: News to help your R&D

Written by AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.

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