Papers › An Empirical Study of CLIP for Text-based Person Search
An Empirical Study of CLIP for Text-based Person Search
Min Cao, Yang Bai, Ziyin Zeng, Mang Ye, Min Zhang
Text-based Person Search (TBPS) aims to retrieve the person images using natural language descriptions. Recently, Contrastive Language Image Pretraining (CLIP), a universal large cross-modal vision-language pre-training model, has remarkably performed over various cross-modal downstream tasks due to its powerful cross-modal semantic learning capacity. TPBS, as a fine-grained cross-modal retrieval task, is also facing the rise of research on the CLIP-based TBPS. In order to explore the potential of the visual-language pre-training model for downstream TBPS tasks, this paper makes the first attempt to conduct a comprehensive empirical study of CLIP for TBPS and thus contribute a straightforward, incremental, yet strong TBPS-CLIP baseline to the TBPS community. We revisit critical design considerations under CLIP, including data augmentation and loss function. The model, with the aforementioned designs and practical training tricks, can attain satisfactory performance without any sophisticated modules. Also, we conduct the probing experiments of TBPS-CLIP in model generalization and model compression, demonstrating the effectiveness of TBPS-CLIP from various aspects. This work is expected to provide empirical insights and highlight future CLIP-based TBPS research.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Text based Person Retrieval | ICFG-PEDES | TBPS-CLIP (ViT-B/16) | R@1 | 65.05 | #6 of 12 | Archive leaderboard | report |
| Text based Person Retrieval | ICFG-PEDES | TBPS-CLIP (ViT-B/16) | R@10 | 85.47 | #6 of 12 | Archive leaderboard | report |
| Text based Person Retrieval | ICFG-PEDES | TBPS-CLIP (ViT-B/16) | R@5 | 80.34 | #6 of 12 | Archive leaderboard | report |
| Text based Person Retrieval | ICFG-PEDES | TBPS-CLIP (ViT-B/16) | mAP | 39.83 | #6 of 12 | Archive leaderboard | report |
| Text based Person Retrieval | RSTPReid | TBPS-CLIP (ViT-B/16) | R@1 | 61.95 | #6 of 9 | Archive leaderboard | report |
| Text based Person Retrieval | RSTPReid | TBPS-CLIP (ViT-B/16) | R@10 | 88.75 | #6 of 9 | Archive leaderboard | report |
| Text based Person Retrieval | RSTPReid | TBPS-CLIP (ViT-B/16) | R@5 | 83.55 | #6 of 9 | Archive leaderboard | report |
| Text based Person Retrieval | RSTPReid | TBPS-CLIP (ViT-B/16) | mAP | 48.26 | #6 of 9 | 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.
Methods
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