AnySeg trains a segmentor to handle arbitrary combinations of visual modalities through unimodal and cross-modal distillation, improving mean mIoU by +6.37% on MUSES and +6.15% on DELIVER over prior state-of-the-art.
Transformer-cnn cohort: Semi-supervised semantic segmentation by the best of both students,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation
AnySeg trains a segmentor to handle arbitrary combinations of visual modalities through unimodal and cross-modal distillation, improving mean mIoU by +6.37% on MUSES and +6.15% on DELIVER over prior state-of-the-art.