Methods › Computer Vision › Vision and Language Pre-Trained Models › VL-T5

VL-T5

5 papers tagged archive 2025-07-28

Introduced by Jaemin Cho et al. in Unifying Vision-and-Language Tasks via Text Generation

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

VL-T5 is a unified framework that learns different tasks in a single architecture with the same language modeling objective, i.e., multimodal conditional text generation. The model learns to generate labels in text based on the visual and textual inputs. In contrast to other existing methods, the framework unifies tasks as generating text labels conditioned on multimodal inputs. This allows the model to tackle vision-and-language tasks with unified text generation objective. The models use text prefixes to adapt to different tasks.

Paper Source

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.

Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering
3 Jun 2024 · 0 repositories · arXiv:2406.01402
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation
20 Oct 2022 · 1 repository · arXiv:2210.11109
Webly Supervised Concept Expansion for General Purpose Vision Models
4 Feb 2022 · 0 repositories · arXiv:2202.02317
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
13 Dec 2021 · 1 repository · arXiv:2112.06825

Syntology ran 1 of 1 samples · 0 unverified
Unifying Vision-and-Language Tasks via Text Generation
4 Feb 2021 · 2 repositories · arXiv:2102.02779

Syntology ran 2 of 12 samples · 10 unverified

Tasks archive 2025-07-28

20 shown of 22 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
Image Captioning	3
Visual Question Answering (VQA)	3
Decoder	2
Question Answering	2
Referring Expression Comprehension	2
Text Generation	2
Visual Question Answering	2
Conditional Text Generation	1
Diversity	1
Human-Object Interaction Detection	1
Image Description	1
Image Retrieval	1
Image to text	1
Language Modeling	1
Language Modelling	1
Multi-Task Learning	1
Object Categorization	1
Object Localization	1
Referring Expression	1
Retrieval	1

Usage over time archive 2025-07-28

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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