Methods › Computer Vision › Vision and Language Pre-Trained Models › OneR
One Representation
OneR
Introduced by Jiho Jang et al. in Unifying Vision-Language Representation Space with Single-tower Transformer
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
In the OneR method, model input can be one of image, text or image+text, and CMC objective is combined with the traditional image-text contrastive (ITC) loss. Masked modeling is also carried out for all three input types (i.e., image, text and multi-modal). This framework employs no modality-specific architectural component except for the initial token embedding layer, making our model generic and modality-agnostic with minimal inductive bias.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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ONER: Online Experience Replay for Incremental Anomaly Detection 5 Dec 2024 · 0 repositories · arXiv:2412.03907
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Unifying Vision-Language Representation Space with Single-tower Transformer 21 Nov 2022 · 0 repositories · arXiv:2211.11153
Tasks archive 2025-07-28
6 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Anomaly Detection | 1 |
| Contrastive Learning | 1 |
| Object Localization | 1 |
| Representation Learning | 1 |
| Retrieval | 1 |
| Visual Reasoning | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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