Fetching the paper…
Reading the bibliography…
We present a method for performing hierarchical object detection in images guided by a deep reinforcement learning agent.
The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
Earlier work this paper cites.
Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E Hinton · 2010
Earlier work this paper cites.
Segmentation as selective search for object recognition
Koen EA Van de Sande, Jasper RR Uijlings, Theo Gevers, and Arnold WM Smeulders · 2011
Earlier work this paper cites.
Cpmc: Automatic object segmentation using constrained parametric min-cuts
Joao Carreira and Cristian Sminchisescu · 2012
Earlier work this paper cites.
Multiple object recognition with visual attention
Jimmy Ba, Volodymyr Mnih, and Koray Kavukcuoglu · 2014
Earlier work this paper cites.
Scalable object detection using deep neural networks
Dumitru Erhan, Christian Szegedy, Alexander Toshev, and Dragomir Anguelov · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Recurrent models of visual attention
Volodymyr Mnih, Nicolas Heess, Alex Graves, et al · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey E Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
Cited alongside, same era.
Edge boxes: Locating object proposals from edges
C Lawrence Zitnick and Piotr Dollár · 2014
Cited alongside, same era.
Active object localization with deep reinforcement learning
Juan C Caicedo and Svetlana Lazebnik · 2015
Cited alongside, same era.
Fast r-cnn
Ross Girshick · 2015
Cited alongside, same era.
You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2015
Later among the works it cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Later among the works it cites.
Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhutdinov, Richard S Zemel, and Yoshua Bengio · 2015
Later among the works it cites.
End-to-end learning of action detection from frame glimpses in videos
Serena Yeung, Olga Russakovsky, Greg Mori, and Li Fei-Fei · 2015
Later among the works it cites.
Attentionnet: Aggregating weak directions for accurate object detection
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, and Scott Reed · 2015
Cited alongside, same era.
Adaptive object detection using adjacency and zoom prediction
Yongxi Lu, Tara Javidi, and Svetlana Lazebnik · 2015
Cited alongside, same era.
Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A Rusu, Joel Veness, Marc G Bellemare, Alex Graves, Martin Riedmiller, Andreas K Fidjeland, Georg Ostrovski, et al · 2015
Cited alongside, same era.
Donggeun Yoo, Sunggyun Park, Joon-Young Lee, Anthony S Paek, and In So Kweon · 2015
Later among the works it cites.
Multiscale combinatorial grouping for image segmentation and object proposal generation
Jordi Pont-Tuset, Pablo Arbeláez, Jonathan T. Barron, Ferran Marques, and Jitendra Malik · 2016
Closest in time.
Mastering the game of go with deep neural networks and tree search
David Silver, Aja Huang, Chris J Maddison, Arthur Guez, Laurent Sifre, George Van Den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, et al · 2016
Closest in time.