Single image dehazing is a challenging ill-posed problem. It aims to estimate the latent haze-free image from the observed hazy image. In recent years, learning-based methods have demonstrated their ...

In the study of small datasets, obtaining training samples from source categories for learning is a challenge in fine-grained image classification. Based on the fact that fine-grained concepts can be ...

FAME-Net dynamically adapts its masks for various image contents, integrating multiple expert outputs through a gating mechanism. In comparative analyses with existing state-of-the-art methods, ...