Comparison of ground truth average image ratings as plotted for each class in SON (left) with the image ratings generated by the LPE method that most closely matched SON in ranking performance (right).

Comparison of ground truth average image ratings as plotted for each class in SON (left) with the image ratings generated by the LPE method that most closely matched SON in ranking performance (right).

<p>The relative rankings for each land cover class are highly similar, though the LPE mean rating is far higher than in SON. Details about the classes is given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0307083#pone.0307083.s002" target="_blank&q...

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Bibliographic Details
Main Author: Alex Levering (19762340) (author)
Other Authors: Diego Marcos (19762343) (author), Nathan Jacobs (18263948) (author), Devis Tuia (1805620) (author)
Published: 2024
Subjects:
Medicine
Science Policy
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
fully supervised way
enabled efficient transfer
downstream tasks even
based annotations highlights
single linear layer
shot methods combined
landscape scenicness prediction
trained vlm representation
shot prediction potential
shot methods
shot learning
model trained
linear probe
small number
results show
model fitted
method outperforms
language models
image ratings
image content
e .,
directly compared
deep learning
also explore
aesthetic quality
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Summary:<p>The relative rankings for each land cover class are highly similar, though the LPE mean rating is far higher than in SON. Details about the classes is given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0307083#pone.0307083.s002" target="_blank">S2 Appendix</a>.</p>

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