Unsupervised Learning

Recent developed deep unsupervised methods allow us to jointly learn representation and cluster unlabelled data. These deep clustering methods mainly focus on the correlation among samples, e.g., selecting high precision pairs to gradually tune the …

We address the problem of performing class specific unsupervised object segmentation by employing a hybrid graph model (HGM) to integrate recognition and segmentation into a unified process.