mlsanityData to 14 Oct 2026

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback

arXiv 1905.12794 ↗First posted 30 May 2019cs.CVcited by 43

Not on the map. Why?

Abstract (arXiv)

Conversational interfaces for the detail-oriented retail fashion domain are more natural, expressive, and user friendly than classical keyword-based search interfaces. In this paper, we introduce the Fashion IQ dataset to support and advance research on interactive fashion image retrieval. Fashion IQ is the first fashion dataset to provide human-generated captions that distinguish similar pairs of garment images together with side-information consisting of real-world product descriptions and derived visual attribute labels for these images. We provide a detailed analysis of the characteristics of the Fashion IQ data, and present a transformer-based user simulator and interactive image retriever that can seamlessly integrate visual attributes with image features, user feedback, and dialog history, leading to improved performance over the state of the art in dialog-based image retrieval. We believe that our dataset will encourage further work on developing more natural and real-world applicable conversational shopping assistants.

Key facts. Cited by 43 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 May 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 6; 2022: 4; 2023: 10; 2024: 7; 2025: 8; 2026: 8.

43 papers.

Sort:

By area:

  1. 2021Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Modelscited by 251
  2. 2024MM-Embed: Universal Multimodal Retrieval with Multimodal LLMscited by 161
  3. 2023Vision-by-Language for Training-Free Compositional Image Retrievalcited by 103
  4. 2023GeneCIS: A Benchmark for General Conditional Image Similaritycited by 47
  5. 2022Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularizationcited by 45
  6. 2023Bi-directional Training for Composed Image Retrieval via Text Prompt Learningcited by 43
  7. 2025Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generationcited by 42
  8. 2023Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encodercited by 35
  9. 2022Probabilistic Compositional Embeddings for Multimodal Image Retrievalcited by 29
  10. 2023Training-free Zero-shot Composed Image Retrieval with Local Concept Rerankingcited by 23
  11. 2024CaLa: Complementary Association Learning for Augmenting Composed Image Retrievalcited by 21
  12. 2024EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrievalcited by 21
31 more
  1. 2025CoLLM: A Large Language Model for Composed Image Retrievalcited by 21
  2. 2024Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Modelscited by 19
  3. 2024Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxycited by 18
  4. 2021Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-trainingcited by 10
  5. 2024HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labelscited by 8
  6. 2026CoVR-R:Reason-Aware Composed Video Retrievalcited by 8
  7. 2022Image Search with Text Feedback by Additive Attention Compositional Learningcited by 7
  8. 2025ConText-CIR: Learning from Concepts in Text for Composed Image Retrievalcited by 7
  9. 2025Generalized Contrastive Learning for Universal Multimodal Retrievalcited by 7
  10. 2022Training and challenging models for text-guided fashion image retrievalcited by 5
  11. 2023Ranking-aware Uncertainty for Text-guided Image Retrievalcited by 5
  12. 2023Dual Relation Alignment for Composed Image Retrievalcited by 5
  13. 2021I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansioncited by 4
  14. 2021Arbitrary Virtual Try-On Network: Characteristics Preservation and Trade-off between Body and Clothingcited by 4
  15. 2021SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shiftscited by 2
  16. 2023Benchmarking Robustness of Text-Image Composed Retrievalcited by 2
  17. 2026PhotoBench: Beyond Visual Matching Towards Personalized Intent-Driven Photo Retrievalcited by 2
  18. 2021Cycled Compositional Learning between Images and Textcited by 1
  19. 2025SETR: A Two-Stage Semantic-Enhanced Framework for Zero-Shot Composed Image Retrievalcited by 1
  20. 2025FIGROTD: A Friendly-to-Handle Dataset for Image Guided Retrieval with Optional Textcited by 1
  21. 2026X-Aligner: Composed Visual Retrieval without the Bells and Whistlescited by 1
  22. 2026OSCAR: Optimization-Steered Agentic Planning for Composed Image Retrievalcited by 1
  23. 2026CLAY: Conditional Visual Similarity Modulation in Vision-Language Embedding Spacecited by 1
  24. 2023Click-Feedback Retrievalcited by 0
  25. 2023Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labelscited by 0
  26. 2024Let's Go Shopping (LGS) -- Web-Scale Image-Text Dataset for Visual Concept Understandingcited by 0
  27. 2025OMR-Diffusion:Optimizing Multi-Round Enhanced Training in Diffusion Models for Improved Intent Understandingcited by 0
  28. 2025UNION: A Lightweight Target Representation for Efficient Zero-Shot Image-Guided Retrieval with Optional Textual Queriescited by 0
  29. 2026Resolving Ambiguity in Composed Image Retrieval via Calibrated Interactioncited by 0
  30. 2026CIRCLED: A Multi-turn CIR Dataset with Consistent Dialogues across Domainscited by 0
  31. 2026Mixed-Modality Dual Face-Hair Retrievalcited by 0