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Understanding object states is as important as object recognition for robotic task planning and manipulation.
ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Object recognition based on object’s identity for cooking recognition task
Y. Yamakata, K. Kakusho, and M. Minoh · 2010
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Human action recognition by learning bases of action attributes and parts
B. Yao, X. Jiang, A. Khosla, A. L. Lin, L. Guibas, and L. Fei-Fei · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Learning grasping force from demonstration
Y. Lin, S. Ren, M. Clevenger, and Y. Sun · 2012
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A database for fine grained activity detection of cooking activities
M. Rohrbach, S. Amin, M. Andriluka, and B. Schiele · 2012
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Long-term recurrent convolutional networks for visual recognition and description
J. Donahue, L. A. Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Multi-task cnn model for attribute prediction
A. H. Abdulnabi, G. Wang, J. Lu, and K. Jia · 2015
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Discovering states and transformations in image collections
P. Isola, J. J. Lim, and E. H. Adelson · 2015
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Grasp planning to maximize task coverage
Y. Lin and Y. Sun · 2015
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Robot grasp planning based on demonstrated grasp strategies
Y. Lin and Y. Sun · 2015
Cited alongside, same era.
Task-based grasp quality measures for grasp synthesis
Y. Lin and Y. Sun · 2015
Cited alongside, same era.
Clustering scenes in cooking video guided by object access
Y. Matsumura, A. Hashimoto, S. Mori, M. Mukunoki, and M. Minoh · 2015
Cited alongside, same era.
Recognizing fine-grained and composite activities using hand-centric features and script data
M. Rohrbach, A. Rohrbach, M. Regneri, S. Amin, M. Andriluka, M. Pinkal, and B. Schiele · 2015
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Cited alongside, same era.
Deep-based ingredient recognition for cooking recipe retrieval
J. Chen and C.-W. Ngo · 2016
Cited alongside, same era.
Deepfood: Deep learning-based food image recognition for computer-aided dietary assessment
C. Liu, Y. Cao, Y. Luo, G. Chen, V. Vokkarane, and Y. Ma · 2016
Later among the works it cites.
Functional object-oriented network for manipulation learning
D. Paulius, Y. Huang, R. Milton, W. D. Buchanan, J. Sam, and Y. Sun · 2016
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Robotic grasping for instrument manipulations
Y. Sun, Y. Lin, and Y. Huang · 2016
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Inception-v4, inception-resnet and the impact of residual connections on learning
C. Szegedy, S. Ioffe, and V. Vanhoucke · 2016
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Cnn-rnn: A unified framework for multi-label image classification
J. Wang, Y. Yang, J. Mao, Z. Huang, C. Huang, and W. Xu · 2016
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Joint discovery of object states and manipulation actions
J.-B. Alayrac, J. Sivic, I. Laptev, and S. Lacoste-Julien · 2017
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Fruit recognition based on convolution neural network
L. Hou, Q. Wu, Q. Sun, H. Yang, and P. Li · 2016
Cited alongside, same era.
Densecap: Fully convolutional localization networks for dense captioning
J. Johnson, A. Karpathy, and L. Fei-Fei · 2016
Cited alongside, same era.
Task-oriented grasp planning based on disturbance distribution
Y. Lin and Y. Sun · 2016
Cited alongside, same era.
https://www.labelbox.io/
Labelbox annotation tool kernel description
Cited in the paper.
Efficiently scaling up crowdsourced video annotation
C. Vondrick, D. Patterson, and D. Ramanan
Cited in the paper.
Later among the works it cites.
Spatially coherent interpretations of videos using pattern theory
F. D. M. de Souza, S. Sarkar, A. Srivastava, and J. Su · 2017
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Captioning images with diverse objects
S. Venugopalan, L. A. Hendricks, M. Rohrbach, R. Mooney, T. Darrell, and K. Saenko · 2017
Later among the works it cites.
A new deep learning-based food recognition system for dietary assessment on an edge computing service infrastructure
C. Liu, Y. Cao, Y. Luo, G. Chen, V. Vokkarane, M. Yunsheng, S. Chen, and P. Hou · 2018
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Boosting image captioning with attributes
T. Yao, Y. Pan, Y. Li, Z. Qiu, and T. Mei · 2018
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