Papers › ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang
Person search by natural language aims at retrieving a specific person in a large-scale image pool that matches the given textual descriptions. While most of the current methods treat the task as a holistic visual and textual feature matching one, we approach it from an attribute-aligning perspective that allows grounding specific attribute phrases to the corresponding visual regions. We achieve success as well as the performance boosting by a robust feature learning that the referred identity can be accurately bundled by multiple attribute visual cues. To be concrete, our Visual-Textual Attribute Alignment model (dubbed as ViTAA) learns to disentangle the feature space of a person into subspaces corresponding to attributes using a light auxiliary attribute segmentation computing branch. It then aligns these visual features with the textual attributes parsed from the sentences by using a novel contrastive learning loss. Upon that, we validate our ViTAA framework through extensive experiments on tasks of person search by natural language and by attribute-phrase queries, on which our system achieves state-of-the-art performances. Code will be publicly available upon publication.
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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 | CUHK-PEDES | ViTAA | R@1 | 55.97 | #16 of 21 | Archive leaderboard | report |
| Text based Person Retrieval | CUHK-PEDES | ViTAA | R@10 | 83.52 | #16 of 21 | Archive leaderboard | report |
| Text based Person Retrieval | CUHK-PEDES | ViTAA | R@5 | 75.84 | #16 of 21 | 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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