Published April 11, 2023 | Version v1
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Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures

  • 1. KU Leuven

Description

This repository contains the retrained AlexNet, VGG16 and ResNet18 models using additional hue and saturation preprocessing steps, as described in the paper "Color-Dependent Prediction Stability of Popular CNN Image Classification Architectures" by L. Mertens et al., presented at ICANN 2023, Heraklion City, Greece, 26-29 September 2023. It also contains all the analysis CSV files used to generate the results reported in the paper (=ColorAnalysis.zip).

For the corresponding code, see https://gitlab.com/EAVISE/lme/nncolorstabilityanalysis-paper

Acknowledgment: This work was funded by KU Leuven grant IDN/21/010.

Files

ColorAnalysis.zip

Files (2.4 GB)

Name Size Download all
md5:2edcd3d64d4f53babc41e2662487089f
244.4 MB Download
md5:471c865e19d182dc284f444d0c4d3164
244.4 MB Download
md5:e5314f60f69b6c72dd8f1135c38d047d
244.4 MB Download
md5:5ab782ab262947be9ef67773c6c9620f
244.4 MB Download
md5:92c55566f514fef5baa1c8535f5af0bf
246.5 MB Preview Download
md5:4fad60f9a868f2b3f271f291f58ce3cc
1.4 kB Preview Download
md5:3ff7277890c6159efb7acd73bfbbbde4
46.8 MB Download
md5:e13518ad24feb4b37f9aa568a120b62a
46.8 MB Download
md5:428612b4b86e384870ff884167f7ab5d
553.4 MB Download
md5:78b7c23f0368470a4ccf1be094a3da6f
553.4 MB Download

Additional details

Funding

KU Leuven
IDN 21/010

Software

Repository URL
https://gitlab.com/EAVISE/lme/nncolorstabilityanalysis-paper
Programming language
Python