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Depth Map Prediction from a Single Image using a Multi-Scale Deep Network.

, , and . NIPS, page 2366-2374. (2014)

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Coarse2Fine: A Two-stage Training Method for Fine-grained Visual Classification., , , and . CoRR, (2019)OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks, , , , , and . (2013)cite arxiv:1312.6229.Gradient Agreement as an Optimization Objective for Meta-Learning., , and . CoRR, (2018)Predicting Images using Convolutional Networks: Visual Scene Understanding with Pixel Maps.. New York University, USA, (2015)Finding Task-Relevant Features for Few-Shot Learning by Category Traversal., , , , and . CVPR, page 1-10. Computer Vision Foundation / IEEE, (2019)Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture., and . ICCV, page 2650-2658. IEEE Computer Society, (2015)Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture., and . CoRR, (2014)Depth Map Prediction from a Single Image using a Multi-Scale Deep Network., , and . NIPS, page 2366-2374. (2014)End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression., , and . CVPR, page 851-859. IEEE Computer Society, (2015)Restoring an Image Taken through a Window Covered with Dirt or Rain., , and . ICCV, page 633-640. IEEE Computer Society, (2013)