HACMatch Semi-Supervised Rotation Regression with Hardness-Aware Curriculum Pseudo Labeling
HACMatch Semi-Supervised Rotation Regression with Hardness-Aware Curriculum Pseudo Labeling explores A semi-supervised learning framework for 3D object rotation regression from 2D images that uses hardness-aware curriculum learning and structured data augmentation to improve performance with limited labeled data.. Commercial viability score: 5/10 in Computer Vision.
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