COCA-Net introduces compactness-guided hierarchical clustering within an attention architecture, achieving state-of-the-art unsupervised object segmentation on synthetic multi-object images.
Contour detection and hierarchical image seg- mentation
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Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning
COCA-Net introduces compactness-guided hierarchical clustering within an attention architecture, achieving state-of-the-art unsupervised object segmentation on synthetic multi-object images.