Jun 11, 2021 · Abstract:In this paper, we propose an approach for learning binary hash codes for image retrieval. Canonical Correlation Analysis (CCA) is ...

In this paper, a novel weighted mean and thresholding-based hash center update scheme for adapting the hash centers is proposed.

ABSTRACT. In this paper, we propose an approach for learning binary hash codes for image retrieval. Canonical Correlation Analysis (CCA) is used.

In this paper, we propose an approach for learning binary hash codes for image retrieval. Canonical Correlation Analysis (CCA) is used to design two loss ...

Jun 11, 2021 · In this paper, we propose an approach for learning bi- nary hash codes for image retrieval. Canonical Correla-.

Ablation study: The loss function used for training our model is p*Lhash+ q*Lclass. When p is low, Lclass is emphasized in training and the retrieval ...

Jun 11, 2021 · A novel weighted mean and thresholding-based hash center update scheme for adapting the hash centers is proposed and the measured mean ...

This paper proposes a novel deep hashing framework, called Deep Incremental Hashing Network (DIHN), for learning hash codes in an incremental manner.

Nov 28, 2023 · In this paper, we propose Deep Attention Sampling Hashing (DASH), a novel deep hashing method that yields high-quality hash codes to enable efficient image ...

This paper introduces the improved dual attention mechanism (IDA) based on the ResNet18 pre-trained module to extract the feature information of the image.