Thinking Before Retrieving: Robust Zero-Shot Composed Image Retrieval via Strategic Planning and Self-Criticism

1. 1Build a frozen vision-language embedding space to represent images and text in a shared semantic space
2. 2Configure a strategic planning module to generate a retrieval-oriented textual query
3. 3Apply self-criticism to evaluate and refine the generated query
4. 4Test the robustness of the retrieval system using the refined query
5. 5Run experiments to evaluate the performance of the proposed approach

AI engineers and researchers working on computer vision and natural language processing tasks can benefit from this approach to improve the performance of their image retrieval systems. This can be particularly useful in applications where training data is limited or unavailable

💡 Strategic planning and self-criticism can significantly improve the robustness of zero-shot composed image retrieval systems

📸💡 Improve zero-shot image retrieval with strategic planning and self-criticism! #AI #ComputerVision