arXiv Machine Learning August 14, 2026 By Ebenezer Tarubinga

CW-BASS v2: Saturation-Aware Pseudo-Label Selection for Semi-Supervised Segmentation under Foundation-Model Teachers

Read the original on arXiv Machine Learning →

arXiv:2608. 12773v1 Announce Type: cross Abstract: Semi-supervised semantic segmentation has long turned on one question, which pseudo-labels to trust, and a generation of selection rules, dynamic thresholds, per-class curricula, soft confidence weights, answered it for the noisy, under-confident ResNet teachers of their day.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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