Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 10; pp. 7255 - 7268
• Main Authors: Shi, Yufeng, Zhao, Yue, Liu, Xin, Zheng, Feng, Ou, Weihua, You, Xinge, Peng, Qinmu
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Annotations; Codes; Computer science; Cross-modal retrieval; Data points; Estimation; Hash functions; Information theory; Optimization; optimization strategy; Retrieval; Semantics; Similarity; similarity estimation; Teachers; unsupervised deep hashing

Cross-modal hashing that leverages hash functions to project high-dimensional data from different modalities into the compact common hamming space, has shown immeasurable potential in cross-modal retrieval. To ease labor costs, unsupervised cross-modal hashing methods are proposed. However, existing...