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Classification Keywords Fraunhofer Group

Version History
Version Item Date Summary
2 fordatis/329.2 2023-08-14 11:46:31.857 The data repository has been updated for the camera-ready submission of the ICCV 2023 paper: Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint.
1 fordatis/329 2023-06-19 13:59:32.0 Please use only the updated data under

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