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20212026
most citedMask-aware IoU for Anchor Assignment in Real-time Instance Segmentation

3 citations · 3 across the 8 of their papers we have counts for

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cs.CV2026

Text region detection in historical astronomical diagrams

Zeynep Sonat Baltacı, Raphaël Baena, Fei Meng +4

Text detection is a crucial task in the analysis of historical documents. While datasets and benchmarks exist for text detection in manuscripts and maps, the study of text in mathe…

cs.CV2026

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer

David Picard, Nicolas Dufour, Lucas Degeorge +14

This paper introduces the Polynomial Mixer (PoM), a novel token mixing mechanism with linear complexity that serves as a drop-in replacement for self-attention. PoM aggregates inpu…

cs.CV2026

Deep Sprite-based Image Models: An Analysis

Zeynep Sonat Baltacı, Romain Loiseau, Mathieu Aubry

While foundation models drive steady progress in image segmentation and diffusion algorithms compose always more realistic images, the seemingly simple problem of identifying recur…

cs.CV2024

Historical Printed Ornaments: Dataset and Tasks

Sayan Kumar Chaki, Zeynep Sonat Baltaci, Elliot Vincent +5

This paper aims to develop the study of historical printed ornaments with modern unsupervised computer vision. We highlight three complex tasks that are of critical interest to boo…

cs.CV2023

Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation

Barış Can Çam, Kemal Öksüz, Fehmi Kahraman +3

This paper introduces Generalized Mask-aware Intersection-over-Union (GmaIoU) as a new measure for positive-negative assignment of anchor boxes during training of instance segmenta…

cs.CV2021★ 3 cited

Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation

Kemal Oksuz, Baris Can Cam, Fehmi Kahraman +3

This paper presents Mask-aware Intersection-over-Union (maIoU) for assigning anchor boxes as positives and negatives during training of instance segmentation methods. Unlike conven…