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We thank the reviewers for detailed and helpful reviews. This is incremental overall ... low technical novelty..." We indeed adopt a common CNN architecture (specifically VGG) as is now typical in vision tasks. However, we adopt the network to a new problem domain: generating segmentation object proposals. For this problem domain, all previous approaches operate by merging or grouping superpixels or edges (with no or only minor data-driven components). Instead, we formulate the problem directly as a learning problem.