Medical image fusion aims to integrate multi-sensor source images into a unified representation, providing comprehensive and diagnostically enriched information to support clinical decision-making.

Underwater image enhancement (UIE) is a highly challenging task due to the complexity of underwater environment and the diversity of underwater image degradation. Due to the application of deep ...

This project proposes an unsupervised learning framework named Neighbor-based Spectral-Spatial Mixed Contrastive Learning (N-SSMCL), designed for hyperspectral image classification.The method ...

In this work, we propose a novel dynamic contrastive knowledge distillation~(DCKD) framework for image restoration. Specifically, we introduce dynamic contrastive regularization to perceive the ...

They compared MONET's performance to supervised learning strategies involving training ResNet-50 models with ground-truth conceptual labels and OpenAI's Contrastive language-image pretraining ...