Project description
Solution for improved segmentation operations for vision-language models
The recent and increasingly widespread use of large language models (LLMs) and vision-language models (VLMs) has introduced new features, capabilities, and possibilities across various services. However, these advancements have also driven up operational costs, as such models are often expensive, complex, and time-consuming to develop. In particular, segmentation (an essential component in applications such as autonomous vehicles and medical imaging) faces challenges when adapting to new or complex domains and classes. Supported by the Marie Skłodowska-Curie Actions programme, the RAVIOLI project aims to develop a scalable and robust fusion model designed for VLM segmentation. This solution will improve adaptability, accuracy, and the granularity of segmentation operations, enhancing the overall performance of VLM-based systems.
Objective
The proposed research project, RAVIOLI (Retrieval-Augmented VIsion-Language Models for Open-vocabulary LocalizatIon), aims to significantly advance the field of segmentation by innovatively integrating retrieval-based predictions from a memory with the original predictions of a vision-language model (VLM) through a learnable fusion model. Addressing a critical gap in existing methods, which often struggle to adapt to new or complex classes and domains, RAVIOLI seeks to enhance the accuracy, adaptability, and granularity of segmentation tasks across various applications, from autonomous vehicles to medical imaging. Importantly, there has been no similar attempt to learn a fusion model with these properties in any open-vocabulary dense task, such as segmentation, making our approach truly pioneering. The ambitious scope of this project lies in its aim to create a tailored, flexible, robust, and scalable solution that will redefine the capabilities of vision-language models, setting a new standard in the field of open-vocabulary segmentation. The project will be hosted by the Visual Recognition Group (VRG) at the Czech Technical University in Prague (CTU) under the supervision of Prof. Giorgos Tolias. The fellow, Bill Psomas, with a strong background in computer vision (CV) and deep learning (DL), is well-equipped to lead this research, which will further supported by a secondment at AImageLab, University of Modena and Reggio Emilia (UNIMORE) working with Prof. Rita Cucchiara.
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
160 00 PRAHA
Czechia
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.