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What is the right supervisory signal to train visual representations? Current approaches in computer vision use category labels from datasets such as ImageNet to train ConvNets.
3d shapenets: A deep representation for volumetric shapes
Wu, Z., Song, S., Khosla, A., Yu, F., Zhang, L., Tang, X., Xiao, J.: · 1920
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Movement-produced stimulation in the development of visually guided behavior
Held, R., Hein, A.: · 1963
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Active vision
Aloimonos, J., Weiss, I., Bandyopadhyay, A.: · 1988
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Reducing uncertainty of objects by robot pushing
Balorda, Z.: · 1990
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Automatic planning of robot pushing operations
Balorda, Z.: · 1993
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Object handling using two arms without grasping
Yun, X.: · 1993
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Stable pushing: Mechanics, controllability, and planning
Lynch, K.M., Mason, M.T.: · 1996
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Robotic grasping and contact: A review
Bicchi, A., Kumar, V.: · 2000
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Greedy layer-wise training of deep networks
Bengio, Y., Lamblin, P., Popovici, D., Larochelle, H., et al.: · 2007
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Deep boltzmann machines
Salakhutdinov, R., Hinton, G.E.: · 2009
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Deep learning from temporal coherence in video
Mobahi, H., Collobert, R., Weston, J.: · 2009
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Learning object-specific grasp affordance densities
Detry, R., Baseski, E., Popovic, M., Touati, Y., Kruger, N., Kroemer, O., Peters, J., Piater, J.: · 2009
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Exoskeletal force-sensing end-effectors with embedded optical fiber-bragg-grating sensors
Park, Y.L., Ryu, S.C., Black, R.J., Chau, K.K., Moslehi, B., Cutkosky, M.R.: · 2009
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Object identification with tactile sensors using bag-of-features
Schneider, A., Sturm, J., Stachniss, C., Reisert, M., Burkhardt, H., Burgard, W.: · 2009
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: · 2009
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A framework for push-grasping in clutter
Dogar, M., Srinivasa, S.: · 2011
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A large-scale hierarchical multi-view rgb-d object dataset
Lai, K., Bo, L., Ren, X., Fox, D.: · 2011
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
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Auto-encoding variational bayes
Kingma, D.P., Welling, M.: · 2013
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Learning image representations tied to ego-motion
Jayaraman, D., Grauman, K.: · 2015
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Deep generative image models using a laplacian pyramid of adversarial networks
Denton, E.L., Chintala, S., Fergus, R., et al.: · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A., Metz, L., Chintala, S.: · 2015
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Learning to see by moving
Agrawal, P., Carreira, J., Malik, J.: · 2015
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Designing deep networks for surface normal estimation
Wang, X., Fouhey, D., Gupta, A.: · 2015
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Dense optical flow prediction from a static image
Walker, J., Gupta, A., Hebert, M.: · 2015
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Lenz, I., Lee, H., Saxena, A.: · 2013
Cited alongside, same era.
Generative adversarial nets
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
Cited alongside, same era.
Depth map prediction from a single image using a multi-scale deep network
Eigen, D., Puhrsch, C., Fergus, R.: · 2014
Cited alongside, same era.
Data-driven grasp synthesis—a survey
Bohg, J., Morales, A., Asfour, T., Kragic, D.: · 2014
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A data-driven statistical framework for post-grasp manipulation
Paolini, R., Rodriguez, A., Srinivasa, S., Mason , M.T.: · 2014
Cited alongside, same era.
Real-time grasp detection using convolutional neural networks
Redmon, J., Angelova, A.: · 2014
Cited alongside, same era.
Unsupervised visual representation learning by context prediction
Doersch, C., Gupta, A., Efros, A.A.: · 2015
Cited alongside, same era.
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Supersizing self-supervision: Learning to grasp from 50k tries and 700 robot hours
Pinto, L., Gupta, A.: · 2015
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Learning contact-rich manipulation skills with guided policy search
Levine, S., Wagener, N., Abbeel, P.: · 2015
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Towards adapting deep visuomotor representations from simulated to real environments
Tzeng, E., Devin, C., Hoffman, J., Finn, C., Peng, X., Levine, S., Saenko, K., Darrell, T.: · 2015
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Deep spatial autoencoders for visuomotor learning
Finn, C., Tan, X.Y., Duan, Y., Darrell, T., Levine, S., Abbeel, P.: · 2015
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Generative image modeling using style and structure adversarial networks
Wang, X., Gupta, A.: · 2016
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Levine, S., Pastor, P., Krizhevsky, A., Quillen, D.: · 2016
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A convex polynomial force-motion model for planar sliding: Identification and application
Zhou, J., Paolini, R., Bagnell, J.A., Mason, M.T.: · 2016
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