Composed Image Retrieval (CoIR)

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (14 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
  9 Aug 2021 3 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  We demonstrate that with a relatively simple architecture, CIRPLANT outperforms existing methods on open-domain images, while matching state-of-the-art accuracy on the existing narrow datasets, such as fashion.
• iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
  5 May 2024 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Given a query consisting of a reference image and a relative caption, Composed Image Retrieval (CIR) aims to retrieve target images visually similar to the reference one while incorporating the changes specified in the…
• Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal Encoder
  25 May 2023 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  An alternative approach is to allow interactions between the query and every possible candidate, i.
• Zero-Shot Composed Image Retrieval with Textual Inversion
  27 Mar 2023 2 repositories listed
  Composed Image Retrieval (CIR) aims to retrieve a target image based on a query composed of a reference image and a relative caption that describes the difference between the two images.
• Conditioned and Composed Image Retrieval Combining and Partially Fine-Tuning CLIP-Based Features
  19 Jun 2022 2 repositories listed
  The proposed method is based on an initial training stage where a simple combination of visual and textual features is used, to fine-tune the CLIP text encoder.
• Effective Conditioned and Composed Image Retrieval Combining CLIP-Based Features
  1 Jan 2022 2 repositories listed
  the visual content of the query image.
• Composed Image Retrieval for Remote Sensing
  24 May 2024 1 repository listed
  Various attributes can be modified by the textual part, such as shape, color, or context.
• Sentence-level Prompts Benefit Composed Image Retrieval
  9 Oct 2023 1 repository listed Syntology ran 7 of 8 samples · 1 unverified · 8 pointer-only (licence)
  Composed image retrieval (CIR) is the task of retrieving specific images by using a query that involves both a reference image and a relative caption.
• CoVR-2: Automatic Data Construction for Composed Video Retrieval
  28 Aug 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Composed Image Retrieval (CoIR) has recently gained popularity as a task that considers both text and image queries together, to search for relevant images in a database.
• Bi-directional Training for Composed Image Retrieval via Text Prompt Learning
  29 Mar 2023 1 repository listed
  Composed image retrieval searches for a target image based on a multi-modal user query comprised of a reference image and modification text describing the desired changes.
• CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion
  21 Mar 2023 1 repository listed Syntology ran 3 of 6 samples · 3 unverified
  This paper proposes a novel diffusion-based model, CompoDiff, for solving zero-shot Composed Image Retrieval (ZS-CIR) with latent diffusion.
• Data Roaming and Quality Assessment for Composed Image Retrieval
  16 Mar 2023 1 repository listed
  To address these shortcomings, we introduce the Large Scale Composed Image Retrieval (LaSCo) dataset, a new CoIR dataset which is ten times larger than existing ones.
• Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
  6 Feb 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Existing methods rely on supervised learning of CIR models using labeled triplets consisting of the query image, text specification, and the target image.
• Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
  14 Nov 2022 1 repository listed Syntology ran 3 of 10 samples · 7 unverified
  The key idea underpinning the proposed method is to integrate fine- and coarse-grained retrieval as matching data points with small and large fluctuations, respectively.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.