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cs.CV2026
A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
Furkan Genç, Onat Özdemir, Emre Akbaş
Out-of-distribution (OOD) detection is critical in safety-sensitive applications. While this challenge has been addressed from various perspectives, the influence of training objec…
cs.CV2026
MatchED: Crisp Edge Detection Using End-to-End, Matching-based Supervision
Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas
Generating crisp, i.e., one-pixel-wide, edge maps remains one of the fundamental challenges in edge detection, affecting both traditional and learning-based methods. To obtain cris…
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…