EAT: Self-Supervised Pre-Training with Efficient Audio Transformer

EAT: Self-Supervised Pre-Training with Efficient Audio Transformer

7 January 2024

Xie Chen

Papers citing "EAT: Self-Supervised Pre-Training with Efficient Audio Transformer"

7 / 7 papers shown

Title
Can Masked Autoencoders Also Listen to Birds? Lukas Rauch Ilyass Moummad René Heinrich Alexis Joly Bernhard Sick Christoph Scholz 27 0 0 17 Apr 2025
Exploring Differences between Human Perception and Model Inference in Audio Event Recognition Yizhou Tan Yanru Wu Yuanbo Hou Xin Xu Hui Bu Shengchen Li Dick Botteldooren Mark D. Plumbley 15 0 0 10 Sep 2024
AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection Anbai Jiang Bing Han Zhiqiang Lv Yufeng Deng Wei-Qiang Zhang Xie Chen Yanmin Qian Jia Liu Pingyi Fan 27 3 0 17 Jun 2024
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection Ke Chen Xingjian Du Bilei Zhu Zejun Ma Taylor Berg-Kirkpatrick Shlomo Dubnov ViT 114 264 0 02 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 99 144 0 02 Feb 2021