Ebenezer Tarubinga

Trusting the wrong pseudo-labels can lead to confirmation bias, but CW-BASS v2 intelligently adapts to the confidence landscape of strong foundation models, yielding significant performance improvements.

Clean-positive contrastive learning can enhance segmentation accuracy by eliminating contamination in positive sets, leading to significant performance gains.