M2CAI Workflow Challenge: Convolutional Neural Networks with Time
Smoothing and Hidden Markov Model for Video Frames Classification

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M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification

18 October 2016

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Papers citing "M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification"

7 / 7 papers shown

Title
The TUM LapChole dataset for the M2CAI 2016 workflow challenge R. Stauder D. Ostler M. Kranzfelder S. Koller H. Feußner Nassir Navab 55 64 0 28 Oct 2016
Tool and Phase recognition using contextual CNN features Manish Sahu Anirban Mukhopadhyay A. Szengel S. Zachow 73 50 0 27 Oct 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
All you need is a good init Dmytro Mishkin Jirí Matas ODL 100 612 0 19 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014