FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval

1 code implementation • 15 May 2021 • Xin Liu, Xingzhi Wang, Yiu-ming Cheung

To tackle these issues, we formulate the learning of similarity-preserving hash codes in terms of orthogonally rotating the semantic data so as to minimize the quantization loss of mapping such data to hamming space, and propose an efficient Fast Discriminative Discrete Hashing (FDDH) approach for large-scale cross-modal retrieval.

Cross-Modal Retrieval Quantization +1