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Neural Architecture Search (NAS) technologies have emerged in many domains to jointly learn the architectures and weights of the neural network.
Compositionality, mdl priors, and object recognition
Elie Bienenstock, Stuart Geman, and Daniel Potter · 1997
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Multitask learning
Rich Caruana · 1998
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Pictorial structures for object recognition
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2005
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A discriminatively trained, multiscale, deformable part model
Pedro F Felzenszwalb, David A McAllester, and Deva Ramanan · 2008
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Pictorial structures revisited: People detection and articulated pose estimation
Mykhaylo Andriluka, Stefan Roth, and Bernt Schiele · 2009
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Articulated part-based model for joint object detection and pose estimation
Min Sun and Silvio Savarese · 2011
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Articulated human detection with flexible mixtures of parts
Yi Yang and Deva Ramanan · 2012
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Random search for hyper-parameter optimization
James Bergstra and Yoshua Bengio · 2012
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Heterogeneous multi-task learning for human pose estimation with deep convolutional neural network
Sijin Li, Zhi-Qiang Liu, and Antoni B Chan · 2014
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Joint training of a convolutional network and a graphical model for human pose estimation
Jonathan J Tompson, Arjun Jain, Yann LeCun, and Christoph Bregler · 2014
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2d human pose estimation: New benchmark and state of the art analysis
Mykhaylo Andriluka, Leonid Pishchulin, Peter Gehler, and Bernt Schiele · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Diederik P Kingma and Jimmy Ba · 2014
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Tracking human pose using max-margin markov models
Lin Zhao, Xinbo Gao, Dacheng Tao, and Xuelong Li · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Convolutional neural fabrics
Shreyas Saxena and Jakob Verbeek · 2016
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Convolutional pose machines
Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 2016
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Structured feature learning for pose estimation
Xiao Chu, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang · 2016
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
Eldar Insafutdinov, Leonid Pishchulin, Bjoern Andres, Mykhaylo Andriluka, and Bernt Schiele · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Human pose estimation via convolutional part heatmap regression
Adrian Bulat and Georgios Tzimiropoulos · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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Neural architecture search with reinforcement learning
Barret Zoph and Quoc V. Le · 2017
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Realtime multi-person 2d pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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Towards accurate multi-person pose estimation in the wild
George Papandreou, Tyler Zhu, Nori Kanazawa, Alexander Toshev, Jonathan Tompson, Chris Bregler, and Kevin Murphy · 2017
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Rmpe: Regional multi-person pose estimation
Hao-Shu Fang, Shuqin Xie, Yu-Wing Tai, and Cewu Lu · 2017
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Learning feature pyramids for human pose estimation
Wei Yang, Shuang Li, Wanli Ouyang, Hongsheng Li, and Xiaogang Wang · 2017
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Cascaded pyramid network for multi-person pose estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, and Jian Sun · 2018
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Simple baselines for human pose estimation and tracking
Bin Xiao, Haiping Wu, and Yichen Wei · 2018
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Evolutionary architecture search for deep multitask networks
Jason Liang, Elliot Meyerson, and Risto Miikkulainen · 2018
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Multiposenet: Fast multi-person pose estimation using pose residual network
Muhammed Kocabas, Salih Karagoz, and Emre Akbas · 2018
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Deeply learned compositional models for human pose estimation
Wei Tang, Pei Yu, and Ying Wu · 2018
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Multi-scale structure-aware network for human pose estimation
Lipeng Ke, Ming-Ching Chang, Honggang Qi, and Siwei Lyu · 2018
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An overview of multi-task learning in deep neural networks
Sebastian Ruder · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Arttrack: Articulated multi-person tracking in the wild
Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, and Bernt Schiele · 2017
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Associative embedding: End-to-end learning for joint detection and grouping
Alejandro Newell, Zhiao Huang, and Jia Deng · 2017
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Recurrent human pose estimation
Vasileios Belagiannis and Andrew Zisserman · 2017
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Compositional human pose regression
Xiao Sun, Jiaxiang Shang, Shuang Liang, and Yichen Wei · 2017
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Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, and Kevin Murphy · 2018
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Matrix capsules with EM routing
Geoffrey E Hinton, Sara Sabour, and Nicholas Frosst · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark B. Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Integral human pose regression
Xiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, and Yichen Wei · 2018
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Nas-fpn: Learning scalable feature pyramid architecture for object detection
Golnaz Ghiasi, Tsung-Yi Lin, and Quoc V. Le · 2019
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Exploring randomly wired neural networks for image recognition
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Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
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Deep high-resolution representation learning for human pose estimation
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Does learning specific features for related parts help human pose estimation?
Wei Tang and Ying Wu · 2019
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Feature partitioning for efficient multi-task architectures
Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, and Jia Deng · 2019
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Hierarchical contextual refinement networks for human pose estimation
Xuecheng Nie, Jiashi Feng, Junliang Xing, Shengtao Xiao, and Shuicheng Yan · 2019
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Random search and reproducibility for neural architecture search
Liam Li and Ameet Talwalkar · 2019
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Fast human pose estimation
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Dsnas: Direct neural architecture search without parameter retraining, 2020
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