Papers › Plug-and-Play Regulators for Image-Text Matching

Plug-and-Play Regulators for Image-Text Matching

23 Mar 2023arXiv:2303.13371archive 2025-07-28

Haiwen Diao, Ying Zhang, Wei Liu, Xiang Ruan, Huchuan Lu

Exploiting fine-grained correspondence and visual-semantic alignments has shown great potential in image-text matching. Generally, recent approaches first employ a cross-modal attention unit to capture latent region-word interactions, and then integrate all the alignments to obtain the final similarity. However, most of them adopt one-time forward association or aggregation strategies with complex architectures or additional information, while ignoring the regulation ability of network feedback. In this paper, we develop two simple but quite effective regulators which efficiently encode the message output to automatically contextualize and aggregate cross-modal representations. Specifically, we propose (i) a Recurrent Correspondence Regulator (RCR) which facilitates the cross-modal attention unit progressively with adaptive attention factors to capture more flexible correspondence, and (ii) a Recurrent Aggregation Regulator (RAR) which adjusts the aggregation weights repeatedly to increasingly emphasize important alignments and dilute unimportant ones. Besides, it is interesting that RCR and RAR are plug-and-play: both of them can be incorporated into many frameworks based on cross-modal interaction to obtain significant benefits, and their cooperation achieves further improvements. Extensive experiments on MSCOCO and Flickr30K datasets validate that they can bring an impressive and consistent R@1 gain on multiple models, confirming the general effectiveness and generalization ability of the proposed methods. Code and pre-trained models are available at: https://github.com/Paranioar/RCAR.

PaperPDFCode

Code

paranioar/rcar officialmentioned in papermentioned on GitHubpytorch report

Repository list and official/mentioned flags are the archive's, frozen 2025-07-28. Reachability, where shown, is from one Syntology probe window (2026-09-16 to 2026-09-18); repositories not probed show nothing. GitHub stars are not tracked.

Code Syntology ran Syntology

Not run by Syntology. Nothing on this page verifies that the listed code works.

Tasks

Cross-Modal RetrievalImage RetrievalImage-text matchingText Matching

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Cross-Modal Retrieval COCO 2014 RCAR Image-to-text R@1 61.3 #25 of 36 Archive leaderboard report
Cross-Modal Retrieval COCO 2014 RCAR Image-to-text R@10 92.6 #25 of 36 Archive leaderboard report
Cross-Modal Retrieval COCO 2014 RCAR Image-to-text R@5 86.1 #25 of 36 Archive leaderboard report
Cross-Modal Retrieval COCO 2014 RCAR Text-to-image R@1 44.3 #25 of 36 Archive leaderboard report
Cross-Modal Retrieval COCO 2014 RCAR Text-to-image R@10 83.2 #25 of 36 Archive leaderboard report
Cross-Modal Retrieval COCO 2014 RCAR Text-to-image R@5 73.2 #25 of 36 Archive leaderboard report
Cross-Modal Retrieval Flickr30k RCAR Image-to-text R@1 82.3 #15 of 27 Archive leaderboard report
Cross-Modal Retrieval Flickr30k RCAR Image-to-text R@10 98.4 #15 of 27 Archive leaderboard report
Cross-Modal Retrieval Flickr30k RCAR Image-to-text R@5 96.0 #15 of 27 Archive leaderboard report
Cross-Modal Retrieval Flickr30k RCAR Text-to-image R@1 62.6 #15 of 27 Archive leaderboard report
Cross-Modal Retrieval Flickr30k RCAR Text-to-image R@10 91.1 #15 of 27 Archive leaderboard report
Cross-Modal Retrieval Flickr30k RCAR Text-to-image R@5 85.8 #15 of 27 Archive leaderboard report
Image Retrieval Flickr30K 1K test RCAR R@1 62.6 #2 of 18 Archive leaderboard report
Image Retrieval Flickr30K 1K test RCAR R@10 91.1 #2 of 18 Archive leaderboard report
Image Retrieval Flickr30K 1K test RCAR R@5 85.8 #2 of 18 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.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections