Self-Supervised Domain Adaptation for Computer Vision Tasks

Recent progress of self-supervised visual representation learning has achieved remarkable success on many challenging computer vision benchmarks.However, whether these techniques can be used for domain adaptation has not been explored.In this work, we propose a generic method for self-supervised domain adaptation, using object recognition and seman

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Motor defects in a Drosophila model for spinal muscular atrophy result from SMN depletion during early neurogenesis.

Spinal muscular atrophy (SMA) is the most common autosomal recessive neurodegenerative disease, and is characterised by spinal motor neuron loss, impaired motor function and, often, premature death.Mutations and deletions in the widely expressed survival motor neuron 1 (SMN1) gene cause SMA; however, the mechanisms underlying the selectivity of mot

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