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Michalis Lazarou

2 accepted papers

2025

Multi-modal Segment Anything Model for Camouflaged Scene Segmentation

ICCV 2025poster

Camouflaged scenes, where objects blend seamlessly into their environments, pose significant challenges to both human observers and computer vision systems. These objects match the background in color, texture, and shape, making them difficult to detect. To this end, we propose leveraging the Segmen…

2021

Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning

ICCV 2021poster

Few-shot learning amounts to learning representations and acquiring knowledge such that novel tasks may be solved with both supervision and data being limited. Improved performance is possible by transductive inference, where the entire test set is available concurrently, and semi-supervised learnin…

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