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S. Seguí

2 papers hereh-index 171.5k citations69 works total

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Across the 2 of 2 papers where every author was matched, so the position is known.

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  • cs.CV2

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most citedLearning to count with deep object features

24 citations · 24 across the 1 of their papers we have counts for

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Showing cs.CVShow all

2 papers · 1 filter

cs.CV2018

Uncertainty Gated Network for Land Cover Segmentation

Guillem Pascual, Santi Seguí, Jordi Vitrià

The production of thematic maps depicting land cover is one of the most common applications of remote sensing. To this end, several semantic segmentation approaches, based on deep…

cs.CV2015★ 24 cited

Learning to count with deep object features

Santi Seguí, Oriol Pujol, Jordi Vitrià

Learning to count is a learning strategy that has been recently proposed in the literature for dealing with problems where estimating the number of object instances in a scene is t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.