[D] Training a UNet-like architecture for semantic segmentation with 200 outcome classes. Submitted by Scared_Employer6992 t3_11dd59q on February 27, 2023 at 2:28 PM in MachineLearning 10 comments 15
prettyyyyprettyygood t1_jabcw8d wrote on February 28, 2023 at 5:01 AM Perhaps you can train at a lower resolution, then later train a separate model to "super-resolution" the segmentation predictions. Permalink 1
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