Eval Metrics for 2% Sparse Thin Segmentation
Undergrad student debuts first paper on arXiv evaluating thin-structure segmentation under ~2% foreground sparsity, tied to whiteboard digitization. Analyzes region/boundary metrics, subset equity, multi-seed training, and robustness. Seeks feedback for resume and improvements.






