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Deep Dependency Networks for Multi-Label Classification

Deep Dependency Networks for Multi-Label Classification

1 February 2023
Shivvrat Arya
Yu Xiang
Vibhav Gogate
ArXivPDFHTML

Papers citing "Deep Dependency Networks for Multi-Label Classification"

14 / 14 papers shown
Title
MlTr: Multi-label Classification with Transformer
MlTr: Multi-label Classification with Transformer
Xingyi Cheng
Hezheng Lin
Xiangyu Wu
Fan Yang
Dong Shen
Zhongyuan Wang
Nian Shi
Honglin Liu
ViT
39
48
0
11 Jun 2021
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label
  Image Recognition
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
Jin Ye
Junjun He
Xiaojiang Peng
Wenhao Wu
Yu Qiao
30
187
0
05 Dec 2020
Asymmetric Loss For Multi-Label Classification
Asymmetric Loss For Multi-Label Classification
Emanuel Ben-Baruch
T. Ridnik
Nadav Zamir
Asaf Noy
Itamar Friedman
M. Protter
Lihi Zelnik-Manor
74
528
0
29 Sep 2020
Multi-Label Image Recognition with Graph Convolutional Networks
Multi-Label Image Recognition with Graph Convolutional Networks
Zhao-Min Chen
Xiu-Shen Wei
Peng Wang
Yanwen Guo
61
998
0
07 Apr 2019
Multi-Label Image Classification via Knowledge Distillation from
  Weakly-Supervised Detection
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection
Yongcheng Liu
Lu Sheng
Jing Shao
Junjie Yan
Shiming Xiang
Chunhong Pan
WSOD
VLM
41
114
0
16 Sep 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
352
19,991
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
44
129
0
31 Mar 2017
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
80
1,238
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
3DV
BDL
522
27,231
0
02 Dec 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
175
2,533
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
134
890
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
65
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
124
1,536
0
11 Jun 2014
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized
  Logistic Regression
High-Dimensional Graphical Model Selection Using ℓ1\ell_1ℓ1​-Regularized Logistic Regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
209
177
0
26 Apr 2008
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