139 citations · 230 across the 15 of their papers we have counts for
3 papers · 1 filter
FETA: Towards Specializing Foundation Models for Expert Task Applications
Amit Alfassy, Assaf Arbelle, Oshri Halimi +10
Foundation Models (FMs) have demonstrated unprecedented capabilities including zero-shot learning, high fidelity data synthesis, and out of domain generalization. However, as we sh…
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
Birgit Pfitzmann, Christoph Auer, Michele Dolfi +2
Accurate document layout analysis is a key requirement for high-quality PDF document conversion. With the recent availability of public, large ground-truth datasets such as PubLayN…
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness
Christoph Auer, Michele Dolfi, André Carvalho +2
Document understanding is a key business process in the data-driven economy since documents are central to knowledge discovery and business insights. Converting documents into a ma…