Conceptio › Archive › arXiv (All)
arXiv (All) open access

VisionFoundry: Teaching VLMs Visual Perception with Synthetic Images

Zhou, Guanyu et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognition
Vision-language models (VLMs) still struggle with visual perception tasks such as spatial understanding and viewpoint recognition, largely because natural image datasets provide limited supervision for low-level visual skills. Can targeted synthetic supervision address these weaknesses without refer
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1143730
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive