1 citations · 1 across the 2 of their papers we have counts for
3 papers
MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset
Benjamin Aubin, Gonzalo Iñaki Quintana, Onur Tasar +4
Training large text-to-image models requires high-quality, curated datasets with diverse content and detailed captions. Yet the cost and complexity of collecting, filtering, dedupl…
Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs
Urszula Czerwinska, Cenk Bircanoglu, Jeremy Chamoux
We benchmark foundation models image embeddings for classification and retrieval in e-Commerce, evaluating their suitability for real-world applications. Our study spans embeddings…
DeDaL: Cytoscape 3.0 app for producing and morphing data-driven and structure-driven network layouts
Urszula Czerwinska, Laurence Calzone, Emmanuel Barillot +1
Visualization and analysis of molecular profiling data together with biological networks are able to provide new mechanistical insights into biological functions. Currently, high-t…