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Contrastive Learning
Weakly-supervised Semantic Segmentation through Projective Cycle-consistency
The goal of this project is to perform semantic segmentation with sparse annotations by knowledge transfer between multiple 2D images and 3D point clouds with projective cycle consistency.
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