IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
MLSP-13: Self-supervised Learning Methods I
Mon, 9 May, 20:00 - 20:45 China Time (UTC +8)
Mon, 9 May, 12:00 - 12:45 UTC
Location: Gather Area H
Session Chair: Wenwu Wang, University of Surrey
Track: Machine Learning for Signal Processing

MLSP-13.1: VISUAL REPRESENTATION LEARNING WITH SELF-SUPERVISED ATTENTION FOR LOW-LABEL HIGH-DATA REGIME
Prarthana Bhattacharyya, University of Waterloo, Canada; Chenge Li, Xiaonan Zhao, István Fehérvári, Jason Sun, Amazon Inc., Canada

MLSP-13.2: TRIBYOL: TRIPLET BYOL FOR SELF-SUPERVISED REPRESENTATION LEARNING
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan

MLSP-13.3: SAGA: SELF-AUGMENTATION WITH GUIDED ATTENTION FOR REPRESENTATION LEARNING
Chun-Hsiao Yeh, Academia Sinica / UC Berkeley, Taiwan; Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Academia Sinica, Taiwan

MLSP-13.4: An Anomaly Detection Method Based on Self-supervised Learning With Soft Label Assignment for Defect Visual Inspection
Chuanfei Hu, Yongxiong Wang, University of Shanghai for Science and Technology, China

MLSP-13.5: CONTRASTIVE PREDICTIVE CODING FOR ANOMALY DETECTION OF FETAL HEALTH FROM THE CARDIOTOCOGRAM
Ivar R. de Vries, Iris A.M. Huijben, Ruud J.G. van Sloun, Rik Vullings, Eindhoven University of Technology, Netherlands; René D. Kok, Nemo Healthcare BV, Netherlands

MLSP-13.6: Graph Fine-Grained Contrastive Representation Learning
Hui Tang, Xun Liang, Yuhui Guo, Xiangping Zheng, Bo Wu, Renmin University of China, China