3D hybrid imaging system could address limitations of MRI, CT and ultrasound

In a proof-of-concept study, researchers from the Keck School of Medicine of USC and the California Institute of Technology ...
IEEE

Hierarchical Convolution and Graph Net for Utilizing Structural Information of Image

Abstract: Graph neural network (GNN) models are capable of capturing the intrinsic structure and semantic relationships within data and this mechanism grants them substantial potential advantages in ...

Imaging technique captures ultrafast electron and atom dynamics in chemical reactions

During chemical reactions, atoms in the reacting substances break their bonds and re-arrange, forming different chemical ...
GitHub

ESC: Emulating Self-attention with Convolution for Efficient Image Super-Resolution

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 ...
IEEE

From Convolution to Attention: A Historical Review and Comparative Analysis of Deep Learning Models in Image Classification

Abstract: Image classification, a core computer vision task, profoundly impacts a computer system’s visual understanding. This paper comprehensively reviews deep - learning - driven image ...