We tackle the task of image retrieval with text feedback, where a reference image and
modifier text are combined to identify the desired target image. We focus on designing an …

In this paper, we study the composed query image retrieval, which aims at retrieving the
target image similar to the composed query, ie, a reference image and the desired …

Text-guided image retrieval integrates reference image and text feedback as a multimodal
query to search the image corresponding to user intention. Recent approaches employ multi …

Composed image retrieval aims at performing image retrieval task by giving a reference
image and a complementary text piece. Since composing both image and text information …

Transformers are powerful visual learners, in large part due to their conspicuous lack of
manually-specified priors. This flexibility can be problematic in tasks that involve multiple …

Composed Query Based Image Retrieval (CQBIR) aims at searching images relevant to a
composed query, ie, a reference image together with a modifier text. Compared with …

Composed Query Based Image Retrieval (CQBIR) aims at retrieving images relevant to a
composed query containing a reference image with a requested modification expressed via …

The plant disease recognition model based on deep learning has shown good performance
potential. However, high complexity and nonlinearity lead to the low transparency and poor …

The ability to efficiently search for images over an indexed database is the cornerstone for
several user experiences. Incorporating user feedback, through multi-modal inputs provide …

In image retrieval, highlighting target object and reducing the influence of background noise
remains challenging. To address this problem, we propose a novel weighting method that …