An Effective Network refers to a well-designed neural network that achieves high accuracy and efficiency in solving a specific task. This involves optimizing the architecture, training process, and parameters of the neural network for optimal performance. The effectiveness of a network relates to its ability to meet its intended purpose efficiently and with positive outcomes.


Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion

Heterogeneous image fusion (HIF) aims to enhance image quality by merging complementary information of images captured by different sensors. Early model-based approaches have strong interpretability while being limited by non-adaptive feature extractors with poor generalizability.