Konstantinos Panagiotis Alexandridis — accepted AI-conference papers

2025

Fractal Calibration for Long-tailed Object Detection

Konstantinos Panagiotis Alexandridis, Ismail Elezi, Jiankang Deng, Anh Nguyen, Shan Luo

CVPR 2025poster

Real-world datasets follow an imbalanced distribution, which poses significant challenges in rare-category object detection. Recent studies tackle this problem by developing re-weighting and re-sampling methods, that utilise the class frequencies of the dataset. However, these techniques focus solel…

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2022

Long-Tailed Instance Segmentation Using Gumbel Optimized Loss

Konstantinos Panagiotis Alexandridis, Jiankang Deng, Anh Nguyen, Shan Luo

ECCV 2022poster

"Major advancements have been made in the field of object detection and segmentation recently. However, when it comes to rare categories, the state-of-the-art methods fail to detect them, resulting in a significant performance gap between rare and frequent categories. In this paper, we identify that…

Cited by 25 Source ↗PDF ↗code ↗Scholar ↗