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MSR Thesis Defense
Robotics Institute,
Carnegie Mellon University
Carnegie Mellon University
Learning with Auxiliary Supervision
Abstract: Supervised learning for high-level vision tasks has advanced significantly over the last decade. One of the primary driving forces for these improvements has been the availability of vast amounts of labeled data. However, annotating data is an expensive and time-consuming process. For example, densely segmenting a natural scene image takes approximately 30 minutes. This mode [...]