Xiangshuai Song

CLUENet: Cluster Attention Makes Neural Networks Have Eyes

Despite the success of convolution- and attention-based models in vision tasks, their rigid receptive fields and complex architectures limit their ability to model irregular spatial patterns and hinder interpretability, thereby posing challenges for tasks requiring high model transparency. Clusterin