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Found 4 papers, 3 papers with code
Data Valuation with Gradient Similarity
High-quality data is crucial for accurate machine learning and actionable analytics, however, mislabeled or noisy data is a common problem in many domains.
Efficient Self-Ensemble for Semantic Segmentation
Ensemble of predictions is known to perform better than individual predictions taken separately.
Ranked #5 on
Semantic Segmentation
on COCO-Stuff test
Learning-Based Image Registration With Meta-Regularization
We introduce a meta-regularization framework for learning-based image registration.
Point-Set Registration: Coherent Point Drift
The goal of point set registration is to assign correspondences between two sets of points and to recover the transformation that maps one point set to the other.
