A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval.
Lucas Pascotti Valem|Daniel Carlos Guimarães Pedronette
| Anthology ID: | DBLP:conf/mir/ValemP21 |
|---|---|
| Volume: | ICMR '21: International Conference on Multimedia Retrieval, Taipei, Taiwan, August 21-24, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 294-302 |
| URL: | https://doi.org/10.1145/3460426.3463645 |
| DOI: | https://doi.org/10.1145/3460426.3463645 |
| DBLP: | conf/mir/ValemP21 |
| BibTeX: |
@inproceedings{valem-2021-denoising,
author = {Lucas Pascotti Valem and
Daniel Carlos Guimar\~{a}es Pedronette},
editor = {Wen-Huang Cheng and
Mohan Kankanhalli and
Meng Wang and
Wei-Ta Chu and
Jiaying Liu and
Marcel Worring},
title = {{A Denoising Convolutional Neural Network for Self-Supervised Rank Effectiveness Estimation on Image Retrieval}},
booktitle = {{ICMR '21: International Conference on Multimedia Retrieval, Taipei, Taiwan, August 21-24, 2021}},
pages = {294--302},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3460426.3463645},
doi = {https://doi.org/10.1145/3460426.3463645}
}