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Stereo Ground Truth with Error Bars., , , , , , , , and . ACCV (5), volume 9007 of Lecture Notes in Computer Science, page 595-610. Springer, (2014)A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields., , , and . ACCV (3), volume 10113 of Lecture Notes in Computer Science, page 19-34. Springer, (2016)Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions., , , , , , , , , and 28 other author(s). CoRR, (2018)A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms., , , , , , , , , and 18 other author(s). CVPR Workshops, page 1795-1812. IEEE Computer Society, (2017)WildDash - Creating Hazard-Aware Benchmarks., , , , and . ECCV (6), volume 11210 of Lecture Notes in Computer Science, page 407-421. Springer, (2018)The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms., , and . ICCV, page 2120-2128. IEEE Computer Society, (2015)The HCI Benchmark Suite: Stereo and Flow Ground Truth with Uncertainties for Urban Autonomous Driving., , , , , , , , , and 1 other author(s). CVPR Workshops, page 19-28. IEEE Computer Society, (2016)Performance metrics and test data generation for depth estimation algorithms.. University of Heidelberg, Germany, (2018)Creating Feasible Reflectance Data for Synthetic Optical Flow Datasets., , and . ISVC (1), volume 10072 of Lecture Notes in Computer Science, page 77-90. Springer, (2016)