TEMPL: A Resource-Efficient and Transparent Model-Free Framework for Pseudo-Label Generation in Material CT Scans
arXiv:2610.28974v1 Announce Type: new Abstract: The scarcity of large annotated datasets limits deep learning (DL) segmentation in material CT analysis. DL-based pseudo-labeling can help, but it is often computationally expensive and hard to interpret. We introduce a multi-stage, model-free framewo…
Read the full story at arXiv cs.CV ↗
Timeline · 1 report
- 2026-10-22 04:00 · arXiv cs.CV
TEMPL: A Resource-Efficient and Transparent Model-Free Framework for Pseudo-Label Generation in Material CT Scans