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Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation
However, due to the scarcity of labeled data, the features extracted by the models are limited in supervised learning, and the quality of predictions for unlabeled data also cannot be guaranteed.
An Embedded Iris Recognition System Optimization using Dynamically ReconfigurableDecoder with LDPC Codes
Extracting and analyzing iris textures for biometric recognition has been extensively studied.
A More Compact Object Detector Head Network with Feature Enhancement and Relational Reasoning
Without losing generality, we can also build a more lighter head network for other multi-stage detectors by assembling our method.
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