In this paper, we propose a new deep hashing (DH) approach to learn compact binary codes for scalable image search. Unlike most existing binary codes learning methods, which usually seek a single linear projection to map each sample into a binary feature vector, we develop a deep neural netwo...
[7] Ruimao Zhang, Liang Lin, Rui Zhang, Wangmeng Zuo, Lei Zhang. Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification. TIP 2015. [8] Haomiao Liu, Ruiping Wang, Shiguang Shan, Xilin Chen. Deep Supervised Hashing for Fast Image Retrie...
Hashing has been widely utilized for Approximate Nearest Neighbor (ANN) search due to its fast retrieval speed and lowstorage cost. In this work, we propose a novel supervisedhashing methodfor scalable face image retrieval, i.e., Deep Hashing based on Classification andQuantization errors(DHCQ),...
Supervised learning based discrete hashing for image retrieval Pattern Recognit. (2019) TangJ.et al. Supervised deep hashing for scalable face image retrieval Pattern Recognit. (2018) WangD.et al. Bayesian denoising hashing for robust image retrieval ...
In this paper, for the first time, we introduce a multiple instance (MI) deep hashing technique for learning discriminative hash codes with weak bag-level supervision suited for large-scale retrieval. We learn such hash codes by aggregating deeply learnt
This paper presents a supervised deep hashing approach that constructs binary hash codes from labeled data for large-scale image search. We assume that semantic labels are governed by a set of latent attributes in which each attribute can be on or off, and classification relies on these attribute...
Sign up for alerts RSS feed nature nature biomedical engineering articles article Article Open access Published: 10 October 2022 Fast and scalable search of whole-slide images via self-supervised deep learning Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Andrew ...
It is also shown that the generated bit-scalable hashing codes well preserve the discriminative powers with shorter code lengths. 展开 关键词: Deep Model Hashing Learning Image Retrieval Image retrieval Person Re-identification Similarity Comparison deep model hashing learning person re-identification ...
We present ElasticHash , a novel approach for high-quality, efficient, and large-scale semantic image similarity search. It is based on a deep hashing model to learn hash codes for fine-grained image similarity search in natural images and a two-stage method for efficiently searching binary ...
Quantization-based hashing: a general framework for scalable image and video retrieval Pattern Recognit. (2018) A.Sanakoyeuet al. Deep unsupervised learning of visual similarities Pattern Recognit. (2018) X.-S.Weiet al. Unsupervised object discovery and co-localization by deep descriptor transformatio...