This webpage contains additional information for our ICASSP 2019 submitted paper, titled, LEARNING SOUND EVENTS FROM WEBLY LABELED DATA .
Authors: Anurag Kumar, Ankit Shah, Alex Hauptmann, Bhiksha Raj
Email: alnu AT andrew DOT cmu DOT edu, aps1 AT andrew DOT cmu DOT edu
If you did not come on this page from the paper, might be a good idea to read the paper first, pdf
We provide addtional information here.
This paper is about learning from web data without involving human supervision in the process.
1. Will be available for download soon.
2. Click Here For More Details Webly-2k and Webly-4k datasets.
WeblyNet
Class specific results and some additional discussion is available below.
Click Here For More Details and Results
[1] Anurag Kumar, Bhiksha Raj , “Audio Event Detection using Weakly Labeled Data,” ACM Multimedia (MM), 2016
[2] Anurag Kumar, Bhiksha Raj , “Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data
” IEEE IJCNN, 2017