Name
Title | ||
|---|---|---|
Reproducibility Companion Paper: On Learning Disentangled Representation for Acoustic Event Detection |
Abstract | ||
|---|---|---|
ABSTRACTThis companion paper is provided to describe the major experiments reported in our paper "On Learning Disentangled Representation for Acoustic Event Detection" published in ACM Multimedia 2019. To make the replication of our work easier, we first give an introduction of the computing environment where all of our experiments are conducted. Furthermore, we provide an environmental configuration file to setup the compiling environment and other artifacts including the source code, datasets and the files generated during our experiments. Finally, we summarize the structure and usage of the source code. For more details, please consult the README file in the archive of artifacts on GitHub: https://github.com/mastergofujs/SED_PyTorch. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3474085.3477938 | International Multimedia Conference |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lijian Gao | 1 | 0 | 1.01 |
| Qirong Mao | 2 | 261 | 34.29 |
| Jing-Jing Chen | 3 | 8 | 2.27 |
| Ming Dong | 4 | 849 | 49.17 |
| Ratna Babu Chinnam | 5 | 0 | 0.34 |
| Lucile Sassatelli | 6 | 91 | 12.87 |
| Miguel Fabian Romero-Rondón | 7 | 4 | 2.11 |
| Ujjwal Sharma | 8 | 0 | 0.68 |