… and, more recently, for image classification. We here extend this work and propose a
transformer-based approach for image retrieval: we adopt vision transformers for generating image …

… Image retrieval using vision transformers In Table 2, we compare with the few previous
approaches using vision transformers as backbones for image retrieval… same transformer encoder …

… upon the Vision Transformer architecture to shape a global descriptor for image retrieval
tasks… Following the procedure that the vast majority of the deeplearning-based image retrieval …

… of vision transformers, we propose a pure transformer-based framework, called as HashFormer,
to tackle the deep hashing task. Specifically, we utilize vision transformer (… task, ie, image …

… Recently, Transformer has emerged as a new architecture in … Transformer is also extended
to Vision Transformer (ViT) for … a Vision Transformer Hashing (VTS) for image retrieval. We …

… from a query image and their correspondence in … retrieval problems is Facial Sketched-Real
Image Retrieval (FSRIR), which is content similarity matching based. These facial retrieving …

… image retrieval, which aims at retrieving the target image similar to the composed query, ie,
a reference image … We leverage the vision Transformer and language Transformer to encode …

… We introduce Reranking Transformers (RRTs) for instance image retrieval. We show that
RRTs outperform prior reranking approaches across a variety of settings. Compared to …

… advancements of vision transformers, we present Transhash, a pure transformer-based …
major modules: (1) Based on Vision Transformer (ViT), we design a siamese Multi-Granular …

… step to exploit the vision transformer-based hashing network for fine-grained image retrieval.
We propose the SwinFGHash, which takes advantage of transformer-based architecture to …