Methods › Computer Vision › Vision and Language Pre-Trained Models › AltCLIP

AltCLIP

5 papers tagged archive 2025-07-28

Introduced by Zhongzhi Chen et al. in AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

In this work, we present a conceptually simple and effective method to train a strong bilingual multimodal representation model. Starting from the pretrained multimodal representation model CLIP released by OpenAI, we switched its text encoder with a pretrained multilingual text encoder XLM-R, and aligned both languages and image representations by a two-stage training schema consisting of teacher learning and contrastive learning. We validate our method through evaluations of a wide range of tasks. We set new state-of-the-art performances on a bunch of tasks including ImageNet-CN, Flicker30k- CN, and COCO-CN. Further, we obtain very close performances with CLIP on almost all tasks, suggesting that one can simply alter the text encoder in CLIP for extended capabilities such as multilingual understanding. Our models and code are available at https://github.com/FlagAI-Open/FlagAI.

PaperSource

Papers archive 2025-07-28

5 shown of 5, 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.

Tasks archive 2025-07-28

20 shown of 23 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Image Classification2
Knowledge Distillation2
Zero-Shot Image Classification2
Blocking1
Concept Alignment1
Contrastive Learning1
Cross-Modal Retrieval1
Image Retrieval1
Image-text Retrieval1
Image-to-Text Retrieval1
Information Retrieval1
Language Modelling1
Retrieval1
Text Retrieval1
Text-to-Image Generation1
XLM-R1
Zero-Shot Cross-Modal Retrieval1
Zero-Shot Transfer Image Classification1
Zero-Shot Transfer Image Classification (CN)1
Zero-shot Image Retrieval1

Usage over time archive 2025-07-28

Papers per year tagged with AltCLIP: 2022 to 2024, peak 3 3 0 2022: 1 paper 2022 2023: 1 paper 2023 2024: 3 papers 2024
Papers per year the archive tags with this method, by the paper's archive date (5 dated). Bars are counts, not a trend claim.

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

Vision and Language Pre-Trained Models

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