ICDAR 2026 Competition on Information Extraction from Atomic Layer Deposition/Etching (ALD/E) Scientific Figures
Scientific figure comprehension and reasoning using multimodal AI requires integrating visual perception with domain-specific reasoning to extract meaningful knowledge, often not presented in the text of a research publication. The Sci-ImageMiner benchmark dataset, accompanied by a community-driven competition, raises the bar over prior scientific competitions by curating a comprehensive, expert-annotated dataset across four end-to-end complementary tasks. The competition attracted 68 active participants and 1,263 public/private submissions from 9th January 2026 to 8th April 2026. Our results show that state-of-the-art multimodal models perform well on classification and summarization tas...
| Authors | Fahad Ahmed, Sören Auer, Jennifer D'Souza |
|---|---|
| Primary category | cs.CV |
| Published | 29 July 2026 |
| Last updated at source | 29 July 2026 |
Connected in the knowledge graph
- SciKnowOrg/Sci-ImageMinerDataset · cited by
- SciKnowOrg/ALD-E-ImageMinerDataset · cited by
Models and datasets referencing this paper
- SciKnowOrg/ALD-E-ImageMinerDataset
- SciKnowOrg/Sci-ImageMinerDataset
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