composed-image-retrieval

Introduces PEC-CIR, a training-free zero-shot composed image retrieval framework that uses a Planner-Executor-Critic architecture to improve retrieval precision by structuring query construction as a multi-stage reasoning pipeline.

This paper presents a unified benchmark for composed image retrieval in Earth observation, evaluating vision-language backbones and introducing a change-centric dataset (xView2-CIR) for disaster monitoring, highlighting distinct challenges compared to attribute-based retrieval.