A subet of the training was degrading segmentation quality
This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.
I am fine tuning U-net for segmentating seismic images. Training comprises datasets A B and C. Inference uses dataset D. Inference results are really bad. I decided to remove A from training. As a result, u-net was able to generalize to dataset D in inference. I employed the CMMD metric proposed by…
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- 2026-09-02 00:39 · r/deeplearning
A subet of the training was degrading segmentation quality - 2026-09-02 00:33 · r/computervision
A subet of the training was degrading segmentation quality