FashionIQ
Emerging7papers using it
2025first seen
FashionIQ is a dataset that contains fashion images paired with textual descriptions, used to evaluate the performance of models in understanding and retrieving images based on complex visual and semantic queries.
Papers using FashionIQ (7)
- FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image RetrievalMCoT-MVS: Multi-level Vision Selection by Multi-modal Chain-of-Thought Reasoning for Composed Image RetrievalReCALL: Recalibrating Capability Degradation for MLLM-based Composed Image RetrievalX-Aligner: Composed Visual Retrieval without the Bells and WhistlesCIR-CoT: Towards Interpretable Composed Image Retrieval via End-to-End Chain-of-Thought ReasoningTMCIR: Token Merge Benefits Composed Image RetrievalCoLLM: A Large Language Model for Composed Image Retrieval