NCDD subtracts a test image's distance to the closest class centroid from its summed distances to the other centroids, with norm-based weights, and this score improves out-of-distribution detection for GI endoscopy abnormalities in the reported benchmarks.
De- tection and classification of gastrointestinal disease using convolutional neural network and svm,
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NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision
NCDD subtracts a test image's distance to the closest class centroid from its summed distances to the other centroids, with norm-based weights, and this score improves out-of-distribution detection for GI endoscopy abnormalities in the reported benchmarks.