In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

Abstract: Deep learning algorithms have seen a growth in recent times due to their capability of analyzing hidden patterns in large datasets efficiently. However, an increase in the complexity of ...

Abstract: To address the challenges posed by the complex structure, large volume of information, slow manual interpretation, and low accuracy of coal mine safety monitoring system drawings, this paper ...