Papers › Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister
In Composed Image Retrieval (CIR), a user combines a query image with text to describe their intended target. Existing methods rely on supervised learning of CIR models using labeled triplets consisting of the query image, text specification, and the target image. Labeling such triplets is expensive and hinders broad applicability of CIR. In this work, we propose to study an important task, Zero-Shot Composed Image Retrieval (ZS-CIR), whose goal is to build a CIR model without requiring labeled triplets for training. To this end, we propose a novel method, called Pic2Word, that requires only weakly labeled image-caption pairs and unlabeled image datasets to train. Unlike existing supervised CIR models, our model trained on weakly labeled or unlabeled datasets shows strong generalization across diverse ZS-CIR tasks, e.g., attribute editing, object composition, and domain conversion. Our approach outperforms several supervised CIR methods on the common CIR benchmark, CIRR and Fashion-IQ. Code will be made publicly available at https://github.com/google-research/composed_image_retrieval.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Zero-Shot Composed Image Retrieval (ZS-CIR) | CIRCO | Pic2Word | mAP@10 | 9.51 | #41 of 43 | Archive leaderboard | report |
| Zero-Shot Composed Image Retrieval (ZS-CIR) | CIRR | Pic2Word | R@5 | 51.70 | #46 of 47 | Archive leaderboard | report |
| Zero-Shot Composed Image Retrieval (ZS-CIR) | COCO (Common Objects in Context) | Pic2Word | Actions Recall@5 | 24.8 | #9 of 10 | Archive leaderboard | report |
| Zero-Shot Composed Image Retrieval (ZS-CIR) | Fashion IQ | Pic2Word | (Recall@10+Recall@50)/2 | 34.20 | #37 of 41 | Archive leaderboard | report |
| Zero-Shot Composed Image Retrieval (ZS-CIR) | ImageNet | Pic2Word | Average Recall | 18.85 | #7 of 11 | Archive leaderboard | report |
| Zero-Shot Composed Image Retrieval (ZS-CIR) | ImageNet-R | Pic2Word | (Recall@10+Recall@50)/2 | 16.65 | #10 of 20 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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