2 papers
cs.CV2025
U-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation
Marwane Kzadri, Franco Alberto Cardillo, Nanée Chahinian +3
Segmenting Synthetic Aperture Radar (SAR) images is crucial for many remote sensing applications, particularly water body detection. However, deep learning-based segmentation model…
cs.LG2025
Task-based Loss Functions in Computer Vision: A Comprehensive Review
Omar Elharrouss, Yasir Mahmood, Yassine Bechqito +4
Loss functions are at the heart of deep learning, shaping how models learn and perform across diverse tasks. They are used to quantify the difference between predicted outputs and…