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} }