Deep Multimodal Embedding Model for Fine-grained Sketch-based Image Retrieval.
Fei Huang|Yong Cheng|Cheng Jin|Yuejie Zhang|Tao Zhang
| Anthology ID: | DBLP:conf/sigir/HuangCJZZ17 |
|---|---|
| Volume: | Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017 |
| Year: | 2017 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 929-932 |
| URL: | https://doi.org/10.1145/3077136.3080681 |
| DOI: | https://doi.org/10.1145/3077136.3080681 |
| DBLP: | conf/sigir/HuangCJZZ17 |
| BibTeX: |
@inproceedings{huang-2017-deep,
author = {Fei Huang and
Yong Cheng and
Cheng Jin and
Yuejie Zhang and
Tao Zhang},
editor = {Noriko Kando and
Tetsuya Sakai and
Hideo Joho and
Hang Li and
Arjen P. de Vries and
Ryen W. White},
title = {{Deep Multimodal Embedding Model for Fine-grained Sketch-based Image Retrieval}},
booktitle = {{Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017}},
pages = {929--932},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3077136.3080681},
doi = {https://doi.org/10.1145/3077136.3080681}
}