Project information

Project Detail

  • Designed early-exit inspired neural network with One-class SVM classifiers distinguishing Out of Distribution sample by extracting features of So2sat satellite dataset at each layer of a VGG16 backbone.
  • Proving layer 2 as best for model-specific OOD detection with 90.14% AUROC and 84.52% AUPR with OOD confidence score as threshold for early exit.