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sam-hq-vit-base

syscv-community

Architecture of SAM-HQ compared to the original SAM model, showing the HQ-Output Token and Global-local Feature Fusion components. 0. TL;DR 1. Model Details 2. Usage 3. Citation SAM-HQ (Segment Anything in High Quality) is an enhanced version of the Segment Anything Model (SAM) that produces higher quality object masks from input prompts such as points or boxes. While SAM was trained on a dataset of 11 million images and 1.1 billion masks, its mask prediction quality falls short in many cases, particularly when dealing with objects that have intricate structures. SAM-HQ addresses these limitations with minimal additional parameters and computation cost.

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sam-hq-vit-huge

syscv-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

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sam-hq-vit-large

syscv-community

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

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sam-hq-vit-base

sam-hq-vit-huge

sam-hq-vit-large

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