Deep Learning Skeletonization Model: Improve F-Score

Only for registered members United States

3 weeks ago

Default job background
$300 - $0 (USD) budget

Job summary

The goal is to improve an existing deep learning skeletonization model trained with DifferentiableSketching framework.


Responsibilities

  • Improve F-score performance on standard skeleton datasets SK1491 SK506 WH-SYMMAX .
  • Eliminate overfitting while achieving competitive benchmarks for validation F score.

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