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  3. Eye image segmentation using visual and concept prompts with
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Eye image segmentation using visual and concept prompts with Segment Anything Model 3 (SAM3)

Fresh1d ago
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Viability
0.0/10

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Evidence Receipt

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

Claims: 0

References: 0

Proof: pending

Distribution: unknown

Source paper: Eye image segmentation using visual and concept prompts with Segment Anything Model 3 (SAM3)

PDF: https://arxiv.org/pdf/2603.17715v1

First buyer signal: unknown

Distribution channel: unknown

Starting…

Dimensions overall score 4.0

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Prior Work
Advancing Complex Video Object Segmentation via Tracking-Enhanced Prompt: The 1st Winner for 5th PVUW MOSE Challenge
Score 4.0stable
Prior Work
Re-Prompting SAM 3 via Object Retrieval: 3rd of the 5th PVUW MOSE Track
Score 4.0stable
Higher Viability
SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation
Score 6.0up
Higher Viability
Revisiting foundation models for cell instance segmentation
Score 7.0up
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
PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation
Score 8.0up
Higher Viability
CataractSAM-2: A Domain-Adapted Model for Anterior Segment Surgery Segmentation and Scalable Ground-Truth Annotation
Score 8.0up
Higher Viability
ET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis
Score 7.0up

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