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FoundYou unified model integrates segmentation and retrieval tasks

Researchers have introduced FoundYou, a unified framework that integrates personalized segmentation and retrieval tasks by leveraging the instance-level cues captured by the Segment Anything 2 (SAM 2) model. This approach treats both tasks as outcomes of the same instance alignment process, enabling new capabilities like few-shot personalized retrieval and promptable personalized segmentation. FoundYou demonstrates significant performance gains on benchmarks such as PerMIS and ILIAS, while utilizing a frozen SAM 2-small model with minimal additional trainable parameters, resulting in a much smaller and faster model compared to prior unified solutions. The framework also achieves state-of-the-art results on category-level retrieval benchmarks. AI

IMPACT This unified approach to segmentation and retrieval could streamline workflows and improve performance in applications requiring object identification across multiple images.

RANK_REASON The cluster describes a new research paper introducing a novel unified model for image segmentation and retrieval. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

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FoundYou unified model integrates segmentation and retrieval tasks

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The cluster describes a new research paper introducing a novel unified model for image segmentation and retrieval. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    FoundYou: A Unified Model for Personalized Segmentation and Retrieval

    Personalized segmentation and personalized retrieval both aim to identify the same physical object across different images. While the former localizes the object within a target image, the latter retrieves images where it appears. Despite this shared instance-level objective, the…