Data for "Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous augmentations"

This repository contains data collected under the following study:P.Kharyuk, S.Matveev, I.Oseledets. Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous augmentations. Corresponding source code repository: https://github.com/kharyuk/activation_sa 1_sensitivity_values.7z: sensitivity values (Sobol indices, Shapley values) computed for the first exprimental series. Every .hdf5 file should be placed into 'results' directory of the source code repository. 2_guided_masking_predictions.7z: these files include the top-5 class predictions and corresponding classifying layer's outputs computed for the second experimental series. To satisfy the space constraint of the current repository, we additionally compressed each hdf5 file (lzma). Every unpacked .hdf5 file should be placed into 'results' directory of the source code repository. 3_single_channelled_segments.7z: sensitivity values (Sobol indices, Shapley values) computed for the third experimental series (for the standalone segments). Every .hdf5 file should be placed into 'results/single_units' directory of the source code repository. 4_test_references.7z: examples of test scripts output (core computations with limited number of samples and checkpoints).