Dec 19, 2023 · To address this issue, this work provides a Visual Question Answering (VQA) perspective to boost the performance of CIR. The resulting VQA4CIR ...
To address this issue, this work provides a Visual Question Answering (VQA) perspective to boost the performance of CIR. The resulting VQA4CIR is a post- ...
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering - chunmeifeng/VQA4CIR.
Dec 20, 2023 · To address this issue, this work provides a Visual Question Answering (VQA) perspective to boost the performance of CIR. The ...
aims to retrieve target images visually similar to the reference one while incorporating the changes specified in the relative caption.
Sentence-level Prompts Benefit Composed Image Retrieval. Y Bai, X Xu, Y ... VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. CM ...
In this paper, we propose a parameter efficient framework for fine-tuning MLLMs, specifically validated on medical visual question answering (Med-VQA) and ...
[7] [Arxiv'23] | VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. ... Boosted Multi-Factor Matching Network for Composed Image Retrieval ...
Image Retrieval is a fundamental and long-standing computer vision task that involves finding images similar to a provided query from a large database.
