CG-ICS uses an MLLM to generate candidate textual concepts, scores them with SAM3 in a tree search, and combines the best concept with a visual exemplar to segment the query stably.
Cooperative semantic segmentation and image restoration in adverse environmental conditions.arXiv preprint arXiv:1911.00679, 2019
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A U-Net plus skeleton/graph pipeline quantifies stripe segment geometry in Bi:YIG films, revealing field-polarity-dependent Type A/B evolution during annealing.
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Toward Robust In-Context Segmentation via Concept Guidance
CG-ICS uses an MLLM to generate candidate textual concepts, scores them with SAM3 in a tree search, and combines the best concept with a visual exemplar to segment the query stably.
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Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via Deep Learning Segmentation
A U-Net plus skeleton/graph pipeline quantifies stripe segment geometry in Bi:YIG films, revealing field-polarity-dependent Type A/B evolution during annealing.