Search Results for author: Pablo Marquez-Neila

Found 3 papers, 1 papers with code

Correlation-aware active learning for surgery video segmentation

no code implementations15 Nov 2023 Fei Wu, Pablo Marquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman

Active Learning (AL) is a popular approach that can help to reduce this burden by iteratively selecting images for annotation to improve the model performance.

Active Learning Contrastive Learning +4

Supervised Machine Learning for Analysing Spectra of Exoplanetary Atmospheres

1 code implementation11 Jun 2018 Pablo Marquez-Neila, Chloe Fisher, Raphael Sznitman, Kevin Heng

Machine learning has previously been used to determine which molecules to include in the model, but the retrieval itself was still performed using standard methods.

Earth and Planetary Astrophysics Atmospheric and Oceanic Physics Data Analysis, Statistics and Probability

Beyond the Pixel-Wise Loss for Topology-Aware Delineation

no code implementations CVPR 2018 Agata Mosinska, Pablo Marquez-Neila, Mateusz Kozinski, Pascal Fua

We propose a new loss term that is aware of the higher-order topological features of linear structures.

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