The models pretrained with IFA loss performed well compared to existing transferable weights, although they did not reach statistical significance in some classes.
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Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography.
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