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  3. Re-Prompting SAM 3 via Object Retrieval: 3rd of the 5th PVUW
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Re-Prompting SAM 3 via Object Retrieval: 3rd of the 5th PVUW MOSE Track

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Viability
0.0/10

Compared to this week’s papers

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Re-Prompting SAM 3 via Object Retrieval: 3rd of the 5th PVUW MOSE Track

PDF: https://arxiv.org/pdf/2603.23788v1

First buyer signal: unknown

Distribution channel: unknown

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Dimensions overall score 4.0

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Prior Work
Eye image segmentation using visual and concept prompts with Segment Anything Model 3 (SAM3)
Score 4.0stable
Higher Viability
The 1st Winner for 5th PVUW MeViS-Text Challenge: Strong MLLMs Meet SAM3 for Referring Video Object Segmentation
Score 8.0up
Higher Viability
UW-VOS: A Large-Scale Dataset for Underwater Video Object Segmentation
Score 7.0up
Higher Viability
Towards Visual Query Segmentation in the Wild
Score 7.0up
Higher Viability
VirPro: Visual-referred Probabilistic Prompt Learning for Weakly-Supervised Monocular 3D Detection
Score 7.0up
Higher Viability
MOSIV: Multi-Object System Identification from Videos
Score 8.0up
Higher Viability
ET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis
Score 7.0up
Competing Approach
Advancing Complex Video Object Segmentation via Tracking-Enhanced Prompt: The 1st Winner for 5th PVUW MOSE Challenge
Score 4.0stable

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