A single regression network trained on class-shifted hardness labels can jointly classify steel microstructures and predict hardness, outperforming multi-task baselines on the authors' own dataset.
Digitization and image-based structure-properties relationship evaluation of a porous gold micro-electrode
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FastCAR: Fast Classification And Regression for Task Consolidation in Multi-Task Learning to Model a Continuous Property Variable of Detected Object Class
A single regression network trained on class-shifted hardness labels can jointly classify steel microstructures and predict hardness, outperforming multi-task baselines on the authors' own dataset.