Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification 事件

Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification arXiv:2605.27144v1 Announce Type: new Abstract: Superpixel-based image classification has traditionally leveraged graph neural networks (GNNs) for processing irregular image representations. Recent advances in computer vision, driven by Vision Transformers (ViTs), have introduced new paradigms in self-attentional models, surpassing convolutional neural networks (CNNs) in various tasks. However, a syne