Funder
Supported by National Key R&D Program of China
National Nature Science Foundation of China
Guangxi Key Laboratory of Trusted Software
Guangxi Key Laboratory of Optoelectroric Information Processing
Natural Science Foundation of Guangxi Province, China
Publisher
Springer Science and Business Media LLC
Reference41 articles.
1. Peng Y, Qi J (2019) Cm-gans: Cross-modal generative adversarial networks for common representation learning. ACM Trans Multimed Comput Commun Appl (TOMM) 15(1):1–24
2. Zhang J, Peng Y (2020) Multi-pathway generative adversarial hashing for unsupervised cross-modal retrieval. IEEE Trans Multimed 22(1):174–187
3. Zhu B, Ngo C-W, Chen J, Hao Y (2019) R2gan: Cross-modal recipe retrieval with generative adversarial network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 11477–11486
4. Zhang Y-y, Feng Y, Liu D-j, Shang J-x, Qiang B-h (2020) Frwcae: joint faster-rcnn and wasserstein convolutional auto-encoder for instance retrieval. Applied Intelligence, pp 1–14
5. Varish N, Pal AK (2018) A novel image retrieval scheme using gray level co-occurrence matrix descriptors of discrete cosine transform based residual image. Appl Intell 48 (9):2930– 2953
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