Self-supervised pretraining on radio images beats ImageNet features for radio source classification in linear evaluation, but fine-tuning erases most of the advantage.
In: ML4Astro International Conference
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Self-supervised learning for radio-astronomy source classification: a benchmark
Self-supervised pretraining on radio images beats ImageNet features for radio source classification in linear evaluation, but fine-tuning erases most of the advantage.