October 1, 2023

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Promptable image segmentation achieves zero-shot performance competitive with or superior to prior fully supervised models across diverse computer vision benchmarks.
Over 1 billion masks across 11 million licensed images establish the largest segmentation dataset to date, enabling robust training for promptable foundation models.
Assessment across diverse tasks demonstrates that promptable models transfer zero-shot effectively, supporting future research into vision foundation models.

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Empirical evaluation demonstrates competitive zero-shot image segmentation across diverse visual tasks, highlighting the viability of foundation models in computer vision.

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Kirillov et al. (2023) studied this question.

synapsesocial.com/papers/6912809ca24073d8361a67f2 https://doi.org/10.1109/iccv51070.2023.00371

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Implication

Empirical evaluation demonstrates competitive zero-shot image segmentation across diverse visual tasks, highlighting the viability of foundation models in computer vision.

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