A teacher-student CNN/ViT framework with feature-level consistency raises weakly supervised smoke-segmentation seed mIoU from 33.56 to 47.37 and to 52.93 with post-processing on a custom IJmond dataset.
Usage:Aunifiedseedareagenerationparadigmforweaklysupervised semantic segmentation
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Mitigating Spurious Correlations in Weakly Supervised Semantic Segmentation via Cross-architecture Consistency Regularization
A teacher-student CNN/ViT framework with feature-level consistency raises weakly supervised smoke-segmentation seed mIoU from 33.56 to 47.37 and to 52.93 with post-processing on a custom IJmond dataset.