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flexgrid2vec: Learning Efficient Visual Representations Vectors
v1v2v3v4v5v6 (latest)

flexgrid2vec: Learning Efficient Visual Representations Vectors

30 July 2020
Ali Hamdi
D. Kim
Flora D. Salim
    SSLGNN
ArXiv (abs)PDFHTML

Papers citing "flexgrid2vec: Learning Efficient Visual Representations Vectors"

49 / 49 papers shown
Title
Regularizing Neural Networks via Adversarial Model Perturbation
Regularizing Neural Networks via Adversarial Model Perturbation
Yaowei Zheng
Richong Zhang
Yongyi Mao
AAML
75
99
0
10 Oct 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
Wei Deng
Qi Feng
Liyao (Mars) Gao
F. Liang
Guang Lin
BDL
41
46
0
12 Aug 2020
Increasing Trustworthiness of Deep Neural Networks via Accuracy
  Monitoring
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
Zhihui Shao
Jianyi Yang
Shaolei Ren
HILM
60
10
0
03 Jul 2020
Deep Polynomial Neural Networks
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
Stefanos Zafeiriou
63
93
0
20 Jun 2020
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
Ali Hamdi
Flora D. Salim
D. Kim
28
13
0
02 May 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
160
3,572
0
21 Jan 2020
On the Relationship between Self-Attention and Convolutional Layers
On the Relationship between Self-Attention and Convolutional Layers
Jean-Baptiste Cordonnier
Andreas Loukas
Martin Jaggi
116
535
0
08 Nov 2019
Scale-Equivariant Steerable Networks
Scale-Equivariant Steerable Networks
Li Xiao
Michal Szmaja
A. Smeulders
127
149
0
14 Oct 2019
Mish: A Self Regularized Non-Monotonic Activation Function
Mish: A Self Regularized Non-Monotonic Activation Function
Diganta Misra
80
679
0
23 Aug 2019
Fast Haar Transforms for Graph Neural Networks
Fast Haar Transforms for Graph Neural Networks
Ming Li
Zheng Ma
Yu Guang Wang
Xiaosheng Zhuang
78
75
0
10 Jul 2019
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
115
1,001
0
07 Apr 2019
Augmented Neural ODEs
Augmented Neural ODEs
Emilien Dupont
Arnaud Doucet
Yee Whye Teh
BDL
152
632
0
02 Apr 2019
An Attention Enhanced Graph Convolutional LSTM Network for
  Skeleton-Based Action Recognition
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
Chenyang Si
Wentao Chen
Wei Wang
Liang Wang
Tieniu Tan
73
713
0
25 Feb 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
164
716
0
25 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.1K
5,532
0
20 Dec 2018
Graph-Based Global Reasoning Networks
Graph-Based Global Reasoning Networks
Yunpeng Chen
Marcus Rohrbach
Zhicheng Yan
Shuicheng Yan
Jiashi Feng
Yannis Kalantidis
GNNNAI
308
460
0
30 Nov 2018
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSLDRL
340
2,672
0
20 Aug 2018
HybridNet: Classification and Reconstruction Cooperation for
  Semi-Supervised Learning
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
Thomas Robert
Nicolas Thome
Matthieu Cord
98
39
0
30 Jul 2018
Person Re-identification with Deep Similarity-Guided Graph Neural
  Network
Person Re-identification with Deep Similarity-Guided Graph Neural Network
Yantao Shen
Hongsheng Li
Shuai Yi
Dapeng Chen
Xiaogang Wang
3DH
68
272
0
26 Jul 2018
Invariant Information Clustering for Unsupervised Image Classification
  and Segmentation
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Xu Ji
João F. Henriques
Andrea Vedaldi
SSLVLM
90
852
0
17 Jul 2018
Videos as Space-Time Region Graphs
Videos as Space-Time Region Graphs
Xinyu Wang
Abhinav Gupta
106
756
0
05 Jun 2018
Deep Neural Networks Motivated by Partial Differential Equations
Deep Neural Networks Motivated by Partial Differential Equations
Lars Ruthotto
E. Haber
AI4CE
124
491
0
12 Apr 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding
Adversarially Regularized Graph Autoencoder for Graph Embedding
Shirui Pan
Ruiqi Hu
Guodong Long
Jing Jiang
Lina Yao
Chengqi Zhang
GNNGAN
59
446
0
13 Feb 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
244
4,179
0
23 Jan 2018
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
180
4,604
0
26 Oct 2017
Deep Convolutional Neural Networks as Generic Feature Extractors
Deep Convolutional Neural Networks as Generic Feature Extractors
L. Hertel
Erhardt Barth
Thomas Käster
T. Martinetz
45
109
0
06 Oct 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
186
5,607
0
21 Jul 2017
Spectral Filter Tracking
Spectral Filter Tracking
Zhen Cui
Youyi Cai
Wen ming Zheng
Jian Yang
56
16
0
18 Jul 2017
Deep Complex Networks
Deep Complex Networks
C. Trabelsi
O. Bilaniuk
Ying Zhang
Dmitriy Serdyuk
Sandeep Subramanian
J. F. Santos
Soroush Mehri
Negar Rostamzadeh
Yoshua Bengio
C. Pal
191
837
0
27 May 2017
Scaling the Scattering Transform: Deep Hybrid Networks
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
59
161
0
27 Mar 2017
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
Guo-Jun Qi
GAN
77
349
0
23 Jan 2017
SANet: Structure-Aware Network for Visual Tracking
SANet: Structure-Aware Network for Visual Tracking
Heng Fan
Haibin Ling
78
233
0
21 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,608
0
07 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples
  in Neural Networks
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Dan Hendrycks
Kevin Gimpel
UQCV
171
3,472
0
07 Oct 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,906
0
03 Jul 2016
Fully-Convolutional Siamese Networks for Object Tracking
Fully-Convolutional Siamese Networks for Object Tracking
Luca Bertinetto
Jack Valmadre
João F. Henriques
Andrea Vedaldi
Philip Torr
VOT
77
3,883
0
30 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
85
1,314
0
02 Jun 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
353
8,000
0
23 May 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
215
2,361
0
30 Mar 2016
Do We Really Need to Collect Millions of Faces for Effective Face
  Recognition?
Do We Really Need to Collect Millions of Faces for Effective Face Recognition?
I. Masi
A. Tran
J. Leksut
Tal Hassner
Gérard Medioni
CVBM
82
365
0
23 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,196
0
16 Mar 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
305
5,534
0
23 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
101
2,228
0
18 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
223
3,357
0
30 Sep 2015
Deep Roto-Translation Scattering for Object Classification
Deep Roto-Translation Scattering for Object Classification
Edouard Oyallon
S. Mallat
80
232
0
30 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
350
2,243
0
18 Sep 2014
Committees of deep feedforward networks trained with few data
Committees of deep feedforward networks trained with few data
Bogdan Miclut
Thomas Kaester
Thomas Martinetz
Erhardt Barth
FedML
54
19
0
23 Jun 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
263
9,800
0
26 Mar 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
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