Deep Neural Architecture for Multi-Modal Retrieval based on Joint Embedding Space for Text and Images.
Saeid Balaneshin Kordan|Alexander Kotov
| Anthology ID: | DBLP:conf/wsdm/KordanK18 |
|---|---|
| Volume: | Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018 |
| Year: | 2018 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 28-36 |
| URL: | https://doi.org/10.1145/3159652.3159735 |
| DOI: | https://doi.org/10.1145/3159652.3159735 |
| DBLP: | conf/wsdm/KordanK18 |
| BibTeX: |
@inproceedings{kordan-2018-deep,
author = {Saeid Balaneshin Kordan and
Alexander Kotov},
editor = {Yi Chang and
ChengXiang Zhai and
Yan Liu and
Yoelle Maarek},
title = {{Deep Neural Architecture for Multi-Modal Retrieval based on Joint Embedding Space for Text and Images}},
booktitle = {{Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018}},
pages = {28--36},
publisher = {ACM},
year = {2018},
url = {https://doi.org/10.1145/3159652.3159735},
doi = {https://doi.org/10.1145/3159652.3159735}
}