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2. Xception: deep learning with depthwise separable convolutions;arXiv Preprint,2017
3. R-FCN: object detection via region-based fully convolutional networks,2016
4. Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture,2015
5. Depth map prediction from a single image using a multi-scale deep network,2014