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Tips and Tricks for Visual Question Answering: Learnings From the 2017 Challenge.

, , , and . CVPR, page 4223-4232. Computer Vision Foundation / IEEE Computer Society, (2018)

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Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation., , , and . CVPR, page 3194-3203. IEEE Computer Society, (2016)Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization, , , and . Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II, page 782--795. Berlin, Heidelberg, Springer Berlin Heidelberg, (2013)Exploring Context with Deep Structured Models for Semantic Segmentation., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (6): 1352-1366 (2018)Supervised Hashing Using Graph Cuts and Boosted Decision Trees., , and . CoRR, (2014)StructBoost: Boosting Methods for Predicting Structured Output Variables, , and . CoRR, (2013)Characterness: An Indicator of Text in the Wild., , , and . CoRR, (2013)Hashing on Nonlinear Manifolds., , , , , and . CoRR, (2014)Incorporating constraints into the design of locally identifiable calibration patterns., , and . ICIP (1), page 817-820. IEEE, (2003)Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking., , , and . Australian Conference on Artificial Intelligence, volume 3339 of Lecture Notes in Computer Science, page 180-191. Springer, (2004)Online Unsupervised Feature Learning for Visual Tracking., , , and . CoRR, (2013)