MFGAN: A Lightweight Fast Multi-task Multi-scale Feature-fusion Model based on GAN.
| Anthology ID: | DBLP:conf/mir/DengZ22 |
|---|---|
| Volume: | ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 579-586 |
| URL: | https://doi.org/10.1145/3512527.3531410 |
| DOI: | https://doi.org/10.1145/3512527.3531410 |
| DBLP: | conf/mir/DengZ22 |
| BibTeX: |
@inproceedings{deng-2022-mfgan,
author = {Lijia Deng and
Yu-Dong Zhang},
editor = {Vincent Oria and
Maria Luisa Sapino and
Shin'ichi Satoh and
Brigitte Kerherv\'{e} and
Wen-Huang Cheng and
Ichiro Ide and
Vivek K. Singh},
title = {{MFGAN: A Lightweight Fast Multi-task Multi-scale Feature-fusion Model based on GAN}},
booktitle = {{ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022}},
pages = {579--586},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3512527.3531410},
doi = {https://doi.org/10.1145/3512527.3531410}
}