From a Set of Shapes to Object Discovery

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How researchers see this paper

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Unsupervised Visual Representation Learning by Context Prediction (2015, background): “A few subsequent works have attempted to use representations more closely tied to shape [33, 40], but relied on contour extraction, which is difficult in complex images.”
Context as Supervisory Signal: Discovering Objects with Predictable Context (2014, background): “Proponents of unsupervised representation learning [1,2,3,4] and unsupervised object discovery [5,6,7,8,9,10,11,12] have long argued that these approaches have the potential to solve two fundamental problems with supervised methods.”
Object discovery in 3D scenes via shape analysis (2013, background): “A large portion of these methods focuses on identifying visually similar regions across several images, thereby identifying object classes [4], [5], [6], [7], [8], [9], [10], [11], [12], [13].”