Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks

Latent dirichlet allocation

David M Blei, Andrew Y Ng, and Michael I Jordan · 2003

Earlier work this paper cites.

Tractable nonparametric bayesian inference in poisson processes with gaussian process intensities

Ryan Prescott Adams, Iain Murray, and David JC MacKay · 2009

Earlier work this paper cites.

Robust object tracking with online multiple instance learning

Boris Babenko, Ming-Hsuan Yang, and Serge Belongie · 2011

Earlier work this paper cites.

Dirichlet process mixtures of generalized linear models

Lauren A Hannah, David M Blei, and Warren B Powell · 2011

Earlier work this paper cites.

Pedestrian detection: An evaluation of the state of the art

Piotr Dollár, Christian Wojek, Bernt Schiele, and Pietro Perona · 2012

Earlier work this paper cites.

Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups

Geoffrey Hinton, Li Deng, Dong Yu, George E Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara N Sainath, et al · 2012

Earlier work this paper cites.

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012

Earlier work this paper cites.

Learning from distributions via support measure machines

Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, and Bernhard Schölkopf · 2012

Earlier work this paper cites.

Playing atari with deep reinforcement learning

Original

Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller · 2013

Earlier work this paper cites.

Distribution to distribution regression

Junier Oliva, Barnabás Póczos, and Jeff Schneider · 2013

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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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Motchallenge 2015: Towards a benchmark for multi-target tracking

Original

Laura Leal-Taixé, Anton Milan, Ian D. Reid, Stefan Roth, and Konrad Schindler · 2015

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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

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Weakly- and semi-supervised learning of a deep convolutional network for semantic image segmentation

George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, and Alan L. Yuille · 2015

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You only look once: Unified, real-time object detection

Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016

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Clustering for point pattern data

Nhat-Quang Tran, Ba-Ngu Vo, Dinh Phung, and Ba-Tuong Vo · 2016

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Model-based classification and novelty detection for point pattern data

Ba-Ngu Vo, Nhat-Quang Tran, Dinh Phung, and Ba-Tuong Vo · 2016

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Yolo9000: better, faster, stronger

Joseph Redmon and Ali Farhadi · 2017

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Deepsetnet: Predicting sets with deep neural networks

Seyed Hamid Rezatofighi, Vijay Kumar BG, Anton Milan, Ehsan Abbasnejad, Anthony Dick, and Ian Reid · 2017

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Model-based multiple instance learning

Ba-Ngu Vo, Dinh Phung, Quang N Tran, and Ba-Tuong Vo · 2017

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