Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach
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Self-training is a simple yet effective method for semi-supervised learning, during which pseudo-label selection plays an important role for handling confirmation bias. Despite its popularity, applying self-training to landmark detection faces three problems: ... ...
