Multi-Task-Transformer
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Metric of edge detection
I am a beginner in multi-task learning and have a silly question: Why does the code use loss as the metric to evaluate edge detection, while the paper uses ODS-F? How is ODS-F calculated? Is this part present in the code? Looking forward to your explanation.
Sorry, I didn't see the repo for the edge detection evaluation. I found it now.