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Cross-scale Attention Model for Acoustic Event Classification
v1v2 (latest)

Cross-scale Attention Model for Acoustic Event Classification

27 December 2019
Xugang Lu
Peng Shen
Sheng Li
Yu Tsao
Hisashi Kawai
ArXiv (abs)PDFHTML

Papers citing "Cross-scale Attention Model for Acoustic Event Classification"

25 / 25 papers shown
Title
Sound Event Detection and Time-Frequency Segmentation from Weakly
  Labelled Data
Sound Event Detection and Time-Frequency Segmentation from Weakly Labelled Data
Qiuqiang Kong
Yong-mei Xu
I. Sobieraj
Wenwu Wang
Mark D. Plumbley
58
115
0
12 Apr 2018
Learning Environmental Sounds with Multi-scale Convolutional Neural
  Network
Learning Environmental Sounds with Multi-scale Convolutional Neural Network
Boqing Zhu
Changjian Wang
Feng Liu
Jin Lei
Zengquan Lu
Yuxing Peng
49
64
0
25 Mar 2018
Multi-level Attention Model for Weakly Supervised Audio Classification
Multi-level Attention Model for Weakly Supervised Audio Classification
Changsong Yu
Karim Barsim
Qiuqiang Kong
Binh Yang
56
83
0
06 Mar 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
175
1,823
0
13 Feb 2018
Large-scale weakly supervised audio classification using gated
  convolutional neural network
Large-scale weakly supervised audio classification using gated convolutional neural network
Yong-mei Xu
Qiuqiang Kong
Wenwu Wang
Mark D. Plumbley
62
233
0
01 Oct 2017
Attention and Localization based on a Deep Convolutional Recurrent Model
  for Weakly Supervised Audio Tagging
Attention and Localization based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging
Yong-mei Xu
Qiuqiang Kong
Qiang Huang
Wenwu Wang
Mark D. Plumbley
46
68
0
17 Mar 2017
Convolutional Recurrent Neural Networks for Polyphonic Sound Event
  Detection
Convolutional Recurrent Neural Networks for Polyphonic Sound Event Detection
Emre Çakir
Giambattista Parascandolo
Toni Heittola
H. Huttunen
Tuomas Virtanen
ObjD
45
546
0
21 Feb 2017
SoundNet: Learning Sound Representations from Unlabeled Video
SoundNet: Learning Sound Representations from Unlabeled Video
Y. Aytar
Carl Vondrick
Antonio Torralba
SSL
126
1,044
0
27 Oct 2016
Revisiting Multiple Instance Neural Networks
Revisiting Multiple Instance Neural Networks
Xinggang Wang
Yongluan Yan
Peng Tang
X. Bai
Wenyu Liu
115
448
0
08 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,596
0
07 Oct 2016
A Joint Detection-Classification Model for Audio Tagging of Weakly
  Labelled Data
A Joint Detection-Classification Model for Audio Tagging of Weakly Labelled Data
Qiuqiang Kong
Yong-mei Xu
Wenwu Wang
Mark D. Plumbley
VLM
57
47
0
06 Oct 2016
Convolutional Recurrent Neural Networks for Music Classification
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
404
475
0
14 Sep 2016
Deep Convolutional Neural Networks and Data Augmentation for
  Environmental Sound Classification
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Justin Salamon
J. P. Bello
70
1,304
0
15 Aug 2016
Audio Event Detection using Weakly Labeled Data
Audio Event Detection using Weakly Labeled Data
Anurag Kumar
Bhiksha Raj
56
173
0
09 May 2016
Learning Multiscale Features Directly From Waveforms
Learning Multiscale Features Directly From Waveforms
Zhenyao Zhu
Jesse Engel
Awni Y. Hannun
81
65
0
31 Mar 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
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
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory
  Problems
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Colin Raffel
D. Ellis
CLL
50
304
0
29 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
405
7,968
0
17 Aug 2015
Listen, Attend and Spell
Listen, Attend and Spell
William Chan
Navdeep Jaitly
Quoc V. Le
Oriol Vinyals
RALM
156
2,269
0
05 Aug 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
465
43,341
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
257
6,784
0
03 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
575
27,325
0
01 Sep 2014
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