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Ermal Elbasani

1 paper hereh-index 6137 citations21 works total

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  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • cs.CV1

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collaborators

1 paper

cs.CV2025

MCAQ-YOLO: Morphological Complexity-Aware Quantization for Efficient Object Detection with Curriculum Learning

Yoonjae Seo, Ermal Elbasani, Jaehong Lee

Most neural network quantization methods apply uniform bit precision across spatial regions, disregarding the heterogeneous complexity inherent in visual data. This paper introduce…

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