AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification

25 March 2022

Papers citing "AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification"

6 / 6 papers shown

Title
A-JEPA: Joint-Embedding Predictive Architecture Can Listen Zhengcong Fei Mingyuan Fan Junshi Huang 25 17 0 27 Nov 2023
The Birds Need Attention Too: Analysing usage of Self Attention in identifying bird calls in soundscapes Chandra Kanth Nagesh Abhishek Purushothama 19 2 0 14 Nov 2022
Contrastive Audio-Visual Masked Autoencoder Yuan Gong Andrew Rouditchenko Alexander H. Liu David F. Harwath Leonid Karlinsky Hilde Kuehne James R. Glass 32 120 0 02 Oct 2022
Masked Autoencoders that Listen Po-Yao (Bernie) Huang Hu Xu Juncheng Billy Li Alexei Baevski Michael Auli Wojciech Galuba Florian Metze Christoph Feichtenhofer 13 268 0 13 Jul 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 209 487 0 01 Oct 2021
PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation Yuan Gong Yu-An Chung James R. Glass VLM 101 144 0 02 Feb 2021