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LLEDA -- Lifelong Self-Supervised Domain Adaptation
Humans and animals have the ability to continuously learn new information over their lifetime without losing previously acquired knowledge.
Contrastive Domain Adaptation
Recently, contrastive self-supervised learning has become a key component for learning visual representations across many computer vision tasks and benchmarks.
Multi-Source Deep Domain Adaptation for Quality Control in Retail Food Packaging
The presence and accuracy of such information is critical to ensure a detailed understanding of the product and to reduce the potential for health risks.
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