Yan-Hua Han

Does Attention-Guided Masking Really Help Object Discovery in Object-Centric Learning?

Object-Centric Learning (OCL) aims to decompose images into objects without human annotations. A major family of mainstream methods uses Slot Attention to aggregate image features into object-level representations and then from them reconstructs masked image content, i.e., Random Masking (RM), to provide self-supervisi...