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TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
[article]
2021
arXiv
pre-print
Deep hamming hashing has gained growing popularity in approximate nearest neighbour search for large-scale image retrieval. Until now, the deep hashing for the image retrieval community has been dominated by convolutional neural network architectures, e.g. . In this paper, inspired by the recent advancements of vision transformers, we present Transhash, a pure transformer-based framework for deep hashing learning. Concretely, our framework is composed of two major modules: (1) Based on Vision
arXiv:2105.01823v1
fatcat:h7fzcwnit5bc7e23mrssf6dp5e