Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis   Self-supervised pre-training appears as an advantageous alternative to
supervised pre-trained for transfer learning. By synthesizing annotations on
pretext tasks, self-supervision allows to pre-train models on large amounts of
pseudo-labels before fine-tuning them on the target task. In this work, we
assess self-supervision for the diagnosis of skin lesions, comparing three
self-supervised pipelines to a challenging supervised baseline, on five test
datasets comprising in- and out-of-distribution samples. Our results show that
self-supervision is competitive both in improving accuracies and in reducing
the variability of outcomes. Self-supervision proves particularly useful for
low training data scenarios ($<1\,500$ and $<150$ samples), where its ability
to stabilize the outcomes is essential to provide sound results.

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The categories of this paper are: hep-th
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The categories of this paper are: cond-mat
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The categories of this paper are: astro-ph
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The categories of this paper are: stat
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The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol
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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-lat
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The categories of this paper are: nlin
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The categories of this paper are: q-bio
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The categories of this paper are: mtrl-th
18
The categories of this paper are: econ
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The categories of this paper are: gr-qc
34
The categories of this paper are: chem-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: math