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End-to-End Learning of Semantic Grasping.

, , , , and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 119-132. PMLR, (2017)

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Multi-Level Active Prediction of Useful Image Annotations for Recognition., and . NIPS, page 1705-1712. Curran Associates, Inc., (2008)Actively selecting annotations among objects and attributes., , and . ICCV, page 1403-1410. IEEE Computer Society, (2011)Rethinking the Faster R-CNN Architecture for Temporal Action Localization., , , , , and . CVPR, page 1130-1139. IEEE Computer Society, (2018)Keywords to visual categories: Multiple-instance learning forweakly supervised object categorization., and . CVPR, IEEE Computer Society, (2008)Efficient Large Scale Video Classification., , , and . CoRR, (2015)End-to-End Learning of Semantic Grasping., , , , and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 119-132. PMLR, (2017)Weakly Supervised Learning of Object Segmentations from Web-Scale Video., , , , , , , , , and . ECCV Workshops (1), volume 7583 of Lecture Notes in Computer Science, page 198-208. Springer, (2012)Far-sighted active learning on a budget for image and video recognition., , and . CVPR, page 3035-3042. IEEE Computer Society, (2010)What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations., and . CVPR, page 2262-2269. IEEE Computer Society, (2009)Large-scale live active learning: Training object detectors with crawled data and crowds., and . CVPR, page 1449-1456. IEEE Computer Society, (2011)