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Deep Dependency Networks and Advanced Inference Schemes for Multi-Label
  Classification

Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification

17 April 2024
Shivvrat Arya
Yu Xiang
Vibhav Gogate
    BDL
ArXiv (abs)PDFHTML

Papers citing "Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification"

15 / 15 papers shown
Title
Learning Semantic-Specific Graph Representation for Multi-Label Image
  Recognition
Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Tianshui Chen
Muxi Xu
X. Hui
Hefeng Wu
Liang Lin
78
289
0
20 Aug 2019
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
169
3,282
0
10 Dec 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in
  Videos
Thin-Slicing Network: A Deep Structured Model for Pose Estimation in Videos
Mingli Song
Limin Wang
Luc Van Gool
Otmar Hilliges
3DH
59
130
0
31 Mar 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
267
18,267
0
02 Jun 2016
Hollywood in Homes: Crowdsourcing Data Collection for Activity
  Understanding
Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
Gunnar Sigurdsson
Gül Varol
Xinyu Wang
Ali Farhadi
Ivan Laptev
Abhinav Gupta
VGen
111
1,246
0
06 Apr 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,416
0
02 Dec 2015
Higher Order Conditional Random Fields in Deep Neural Networks
Higher Order Conditional Random Fields in Deep Neural Networks
Anurag Arnab
Sadeep Jayasumana
Shuai Zheng
Philip Torr
SSeg
103
230
0
25 Nov 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLMSSeg
148
924
0
04 Apr 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
245
2,536
0
11 Feb 2015
Deep Convolutional Neural Fields for Depth Estimation from a Single
  Image
Deep Convolutional Neural Fields for Depth Estimation from a Single Image
Fayao Liu
Chunhua Shen
Guosheng Lin
MDE
180
892
0
24 Nov 2014
Articulated Pose Estimation by a Graphical Model with Image Dependent
  Pairwise Relations
Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations
Xianjie Chen
Alan Yuille
3DH
98
511
0
12 Jul 2014
Joint Training of a Convolutional Network and a Graphical Model for
  Human Pose Estimation
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Jonathan Tompson
Arjun Jain
Yann LeCun
C. Bregler
3DH
141
1,541
0
11 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
424
43,814
0
01 May 2014
Join-Graph Propagation Algorithms
Join-Graph Propagation Algorithms
R. Mateescu
Kalev Kask
Vibhav Gogate
R. Dechter
82
70
0
15 Jan 2014
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