The objective of cross-modal hashing (CMH) is to learn representations of various modalities in a common low-dimensional vector space, where pair-wise distances ...

Our new approach for continuous cross-modal hashing (CCMH) can handle arriving new classes (ANCs), which has not been explored before.

To solve the aforementioned issues, we propose a novel framework, called CT-CMH, for the new task of continuous cross-modal hashing. For dealing with ANCs, CMH ...

Apr 26, 2023 · In this paper, propose a novel deep lifelong cross-modal hashing to achieve lifelong hashing retrieval instead of re-training hash function repeatedly when new ...

Sep 27, 2022 · Generally, multimodal data with new classes arrive continuously in the real world. While advanced cross-modal hashing (CMH) focuses ...

Oct 1, 2023 · Our new approach for continuous cross-modal hashing (CCMH) can handle arriving new classes (ANCs), which has not been explored before.

In this paper, we propose a novel CMH method, called deep cross-modal hashing (DCMH), by integrating feature learning and hash-code learning into the same ...

Cross-modal hashing (CMH) models are intro- duced to significantly reduce the cost of large-scale cross-modal data retrieval systems. In many real-.

Feb 9, 2023 · Cross-modal hashing is an efficient method to embed high-dimensional heterogeneous modal feature descriptors into a consistency-preserving ...

Missing: Continuous | Show results with:Continuous