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Weakly Supervised Representation Learning for Unsynchronized
  Audio-Visual Events

Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events

19 April 2018
Sanjeel Parekh
S. Essid
A. Ozerov
Ngoc Q. K. Duong
P. Pérez
G. Richard
    SSL
ArXivPDFHTML

Papers citing "Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events"

24 / 24 papers shown
Title
Multimodal Deep Learning
Multimodal Deep Learning
Cem Akkus
Jiquan Ngiam
Vladana Djakovic
Steffen Jauch-Walser
A. Khosla
...
Jann Goschenhofer
Honglak Lee
A. Ng
Daniel Schalk
Matthias Aßenmacher
37
3,161
0
12 Jan 2023
Objects that Sound
Objects that Sound
Relja Arandjelović
Andrew Zisserman
ObjD
VOS
59
529
0
18 Dec 2017
Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural
  Network for Sound Events and Scenes
Knowledge Transfer from Weakly Labeled Audio using Convolutional Neural Network for Sound Events and Scenes
Anurag Kumar
Maksim Khadkevich
C. Fügen
31
139
0
04 Nov 2017
Surrey-cvssp system for DCASE2017 challenge task4
Surrey-cvssp system for DCASE2017 challenge task4
Yong-mei Xu
Qiuqiang Kong
Wenwu Wang
Mark D. Plumbley
31
37
0
02 Sep 2017
Sound Event Detection Using Spatial Features and Convolutional Recurrent
  Neural Network
Sound Event Detection Using Spatial Features and Convolutional Recurrent Neural Network
Sharath Adavanne
Pasi Pertilä
Tuomas Virtanen
34
140
0
07 Jun 2017
See, Hear, and Read: Deep Aligned Representations
See, Hear, and Read: Deep Aligned Representations
Y. Aytar
Carl Vondrick
Antonio Torralba
VLM
AI4TS
69
136
0
03 Jun 2017
Look, Listen and Learn
Look, Listen and Learn
Relja Arandjelović
Andrew Zisserman
SSL
63
897
0
23 May 2017
SoundNet: Learning Sound Representations from Unlabeled Video
SoundNet: Learning Sound Representations from Unlabeled Video
Y. Aytar
Carl Vondrick
Antonio Torralba
SSL
70
1,040
0
27 Oct 2016
YouTube-8M: A Large-Scale Video Classification Benchmark
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija
Nisarg Kothari
Joonseok Lee
Apostol Natsev
G. Toderici
Balakrishnan Varadarajan
Sudheendra Vijayanarasimhan
VLM
69
1,264
0
27 Sep 2016
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised
  Localization
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
Vadim Kantorov
Maxime Oquab
Minsu Cho
Ivan Laptev
WSOL
40
306
0
14 Sep 2016
Audio Event Detection using Weakly Labeled Data
Audio Event Detection using Weakly Labeled Data
Anurag Kumar
Bhiksha Raj
22
173
0
09 May 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
37
744
0
19 Mar 2016
Visually Indicated Sounds
Visually Indicated Sounds
Andrew Owens
Phillip Isola
Josh H. McDermott
Antonio Torralba
Edward H. Adelson
William T. Freeman
64
382
0
28 Dec 2015
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
109
9,266
0
14 Dec 2015
Weakly Supervised Deep Detection Networks
Weakly Supervised Deep Detection Networks
Hakan Bilen
Andrea Vedaldi
WSOD
39
784
0
09 Nov 2015
Contextual Action Recognition with R*CNN
Contextual Action Recognition with R*CNN
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
HAI
33
401
0
05 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
234
24,933
0
30 Apr 2015
Weakly Supervised Object Localization with Multi-fold Multiple Instance
  Learning
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning
R. G. Cinbis
Jakob Verbeek
Cordelia Schmid
WSOD
SSL
48
430
0
03 Mar 2015
Exploiting Feature and Class Relationships in Video Categorization with
  Regularized Deep Neural Networks
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks
Yu-Gang Jiang
Zuxuan Wu
Jun Wang
Xiangyang Xue
Shih-Fu Chang
54
360
0
25 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
498
149,474
0
22 Dec 2014
How good are detection proposals, really?
How good are detection proposals, really?
J. Hosang
Rodrigo Benenson
Bernt Schiele
ObjD
37
272
0
26 Jun 2014
Weakly-supervised Discovery of Visual Pattern Configurations
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song
Yong Jae Lee
Stefanie Jegelka
Trevor Darrell
WSOD
36
165
0
25 Jun 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
205
11,183
0
18 Jun 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
178
26,091
0
11 Nov 2013
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