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Author

Tolga Turay

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Open access Aug 2026

SML-IS: a multi-scale annotation approach to improve instance segmentation accuracy

Instance segmentation requires precisely outlining object boundaries in images using polygonal masks. Conventional single-scale annotations often fail to represent multi-scale appearance variations, which limits segmentation accuracy and reduces the semantic richness available to learning algorithms. We introduce...

Adem Kosar, O. Korkmaz, Tolga Turay et al. · 0 citations
Open access Sep 2026

Analyzing the Impact of Photometric Data Augmentation on Medical Instance Segmentation Performance

This study analyzes the effect of photometric data augmentation strategies on medical instance segmentation using the Kvasir-SEG dataset. Mask R-CNN X101-FPN and YOLOv8l-seg are adopted as representative two-stage and one-stage segmentation models. Although data augmentation is commonly employed to enhance robustness i...

Tolga Turay · 0 citations

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