ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.06178
  4. Cited By
Guided Learning Convolution System for DCASE 2019 Task 4

Guided Learning Convolution System for DCASE 2019 Task 4

11 September 2019
Liwei Lin
Xiangdong Wang
Hong Liu
Yueliang Qian
ArXivPDFHTML

Papers citing "Guided Learning Convolution System for DCASE 2019 Task 4"

9 / 9 papers shown
Title
SP-SEDT: Self-supervised Pre-training for Sound Event Detection
  Transformer
SP-SEDT: Self-supervised Pre-training for Sound Event Detection Transformer
Zhi-qin Ye
Xiangdong Wang
Hong Liu
Yueliang Qian
Ruijie Tao
Long Yan
Kazushige Ouchi
ViT
24
2
0
30 Nov 2021
Couple Learning for semi-supervised sound event detection
Couple Learning for semi-supervised sound event detection
Ruijie Tao
Long Yan
Kazushige Ouchi
Xiangdong Wang
27
2
0
12 Oct 2021
Sound Event Detection Transformer: An Event-based End-to-End Model for
  Sound Event Detection
Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection
Zhi-qin Ye
Xiangdong Wang
Hong Liu
Yueliang Qian
Ruijie Tao
Long Yan
Kazushige Ouchi
ViT
35
16
0
05 Oct 2021
Learning generic feature representation with synthetic data for
  weakly-supervised sound event detection by inter-frame distance loss
Learning generic feature representation with synthetic data for weakly-supervised sound event detection by inter-frame distance loss
Yuxin Huang
Liwei Lin
Xiangdong Wang
Hong Liu
Yueliang Qian
Min Liu
Kazushige Ouchi
37
4
0
02 Nov 2020
An Improved Event-Independent Network for Polyphonic Sound Event
  Localization and Detection
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection
Yin Cao
Turab Iqbal
Qiuqiang Kong
Y. Zhong
Wenwu Wang
Mark D. Plumbley
16
75
0
25 Oct 2020
Joint Analysis of Sound Events and Acoustic Scenes Using Multitask
  Learning
Joint Analysis of Sound Events and Acoustic Scenes Using Multitask Learning
Noriyuki Tonami
Keisuke Imoto
Ryosuke Yamanishi
Y. Yamashita
23
13
0
16 Oct 2020
Few-shot acoustic event detection via meta-learning
Few-shot acoustic event detection via meta-learning
Bowen Shi
Ming Sun
Krishna C. Puvvada
Chieh-Chi Kao
Spyros Matsoukas
Chao Wang
30
60
0
21 Feb 2020
Limitations of weak labels for embedding and tagging
Limitations of weak labels for embedding and tagging
Nicolas Turpault
Romain Serizel
Emmanuel Vincent
26
9
0
05 Feb 2020
A Framework for the Robust Evaluation of Sound Event Detection
A Framework for the Robust Evaluation of Sound Event Detection
Cagdas Bilen
Giacomo Ferroni
Francesco Tuveri
Juan Azcarreta
Sacha Krstulović
43
163
0
18 Oct 2019
1