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Size Matters: Metric Visual Search Constraints from Monocular Metadata., , and . NIPS, page 622-630. Curran Associates, Inc., (2010)Unsupervised Learning of Visual Sense Models for Polysemous Words., and . NIPS, page 1393-1400. Curran Associates, Inc., (2008)Understanding object descriptions in robotics by open-vocabulary object retrieval and detection., , , and . I. J. Robotics Res., 35 (1-3): 265-280 (2016)Learning Deep Object Detectors from 3D Models., , , and . ICCV, page 1278-1286. IEEE Computer Society, (2015)LSDA: Large Scale Detection Through Adaptation., , , , , , and . CoRR, (2014)Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)., , , , and . CoRR, (2018)VisDA: The Visual Domain Adaptation Challenge., , , , , and . CoRR, (2017)Deep Domain Confusion: Maximizing for Domain Invariance., , , , and . CoRR, (2014)Language Features Matter: Effective Language Representations for Vision-Language Tasks., , , , and . CoRR, (2019)Long-term Recurrent Convolutional Networks for Visual Recognition and Description., , , , , , and . CoRR, (2014)