Dominique Vaufreydaz

Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut

Transformers trained with self-supervision using self-distillation loss (DINO) have been shown to produce attention maps that highlight salient foreground objects. In this paper, we show a graph-based method that uses the self-supervised transformer features to discover an object from an image. Visu…