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3d-representation-learning

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CAST is a method for semi-supervised instance segmentation that efficiently trains a compact model using both labeled and unlabeled data. This repository contains the implementation of our three-stage pipeline, showcasing contrastive adaptation and distillation techniques. 🐙🌟

  • Updated Jun 19, 2025

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