IBM Granite Vision tops the chart for small models in document understanding
News
Mike Murphy
Computer Vision
Modern computer vision systems have superhuman accuracy when it comes to image recognition and analysis, but they don’t really understand what they see. At IBM Research, we’re designing AI systems with the ability to see the world like we do.
Our work
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Publications
Spoken question answering for visual queries
- Nimrod Shabtay
- Zvi Kons
- et al.
- 2025
- INTERSPEECH 2025
HyRet-Change: A Hybrid Retentive Network for Remote Sensing Change Detection
- Mustansar Fiaz
- Mubashir Noman
- et al.
- 2025
- IGARSS 2025
Learnable Channel Converter for Multi-Spectral Image to RGB Visualization using a Vision-Text Model
- Haoxiang Qiu
- Tomoya Sakai
- et al.
- 2025
- IGARSS 2025
REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark
- Navve Wasserman
- Roi Pony
- et al.
- 2025
- ACL 2025
Granite Vision: A Demo for Efficient Visual Document Understanding
- Pengyuan Li
- Granite Vision Team
- 2025
- CVPR 2025
MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures
- Lucas Morin
- Valery Weber
- et al.
- 2025
- CVPR 2025