Deep supervised hashing with pairwise labels
WebNov 12, 2015 · In this paper, we propose a novel deep hashing method, called deep pairwise-supervised hashing (DPSH), to perform simultaneous feature learning and … WebNov 12, 2024 · Deep pairwise-supervised hashing (DPSH) performs learning based on pairwise labels. Reference poses hash learning as a problem of regularized similarity learning and simultaneously learns hash function and image features through triplet samples. Our approach proposed in this paper outperforms the above methods.
Deep supervised hashing with pairwise labels
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WebDec 12, 2016 · Most deep hashing methods are given supervised information in the form of pairwise labels or triplet labels. The current state-of-the-art deep hashing method …
Web[CVPRW 2015] Deep Learning of Binary Hash Codes for Fast Image Retrieval Kevin Lin, Huei-Fang Yang, Jen-Hao Hsiao, Chu-Song Chen. [IJCAI 2016] Feature Learning based Deep Supervised Hashing with Pairwise Labels Wu … WebJun 1, 2024 · [18] Li WJ, Wang S and Kang WC 2015 Feature learning based deep supervised hashing with pairwise labels arXiv preprint arXiv: 1511.03855Nov 12. Google Scholar [19] Liu H, Wang R, Shan S and Chen X 2016 Proceedings of the IEEE conference on computer vision and pattern recognition Deep supervised hashing for fast image …
WebFeb 9, 2024 · This paper presents a simple yet effective supervised deep hash approach that constructs binary hash codes from labeled data for large-scale image search. We assume that the semantic labels are governed by several latent attributes with each attribute on or off, and classification relies on these attributes. Based on this assumption, …
WebOct 15, 2024 · Deep Pairwise-supervised Hashing (DPSH) uses the Bayesian framework to create a relationship between hash codes and pairwise labels and then optimizes the … grey wood and iron dining tableWebDec 12, 2024 · With the emergence of big data, the efficiency of data querying and data storage has become a critical bottleneck in the remote sensing community. In this letter, we explore hash learning for the indexing of large-scale remote sensing images (RSIs) with a supervised pairwise neural network with the aim of improving RSI retrieval performance … field strip a glock 19WebIn supervised hashing, the label information is given as Y = fy ig N i=1 2R c N, where y i2f0;1g c corresponds to the sample x i, cis the number of categories. Note that one sample may belong to multiple categories. Given the semantic label information, the pairwise label information is derived as: S = fs ijg, s ij 2f0;1g, where s ij = 1 when x ... grey wood and pine bedside tableWebJun 24, 2024 · This paper proposes a supervised semantic text hashing method that utilizes pairwise label information. Several different methods based on the variational … grey wood and metal cabinetWebOct 15, 2024 · Deep Pairwise-supervised Hashing (DPSH) uses the Bayesian framework to create a relationship between hash codes and pairwise labels and then optimizes the relationship to learn hash functions. HashGAN [ 39 ] uses Wasserstein GAN to increase training data by exploiting pairwise similarity (dissimilarity) information, and hash codes … field strip a marlin 88WebJul 31, 2024 · Hashing has been widely used for large-scale search due to its low storage cost and fast query speed. By using supervised information, supervised hashing can … grey wood and whiteWebIn this paper, we propose a novel deep hashing method, called deep discrete supervised hashing (DDSH). DDSH is the first deep hashing method which can utilize pairwise supervised information to directly guide both discrete coding procedure and deep feature learning procedure and thus enhance the feedback between these two important … field strip and assemble ar15