2 papers
cs.CV2026
Multi-Task Learning with Additive U-Net for Image Denoising and Classification
Vikram Lakkavalli, Neelam Sinha
We investigate additive skip fusion in U-Net architectures for image denoising and denoising-centric multi-task learning (MTL). By replacing concatenative skips with gated additive…
cs.CV2026
Rethinking Skip Connections: Additive U-Net for Robust and Interpretable Denoising
Vikram R Lakkavalli
Skip connections are central to U-Net architectures for image denoising, but standard concatenation doubles channel dimensionality and obscures information flow, allowing uncontrol…