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Found 2 papers, 2 papers with code
Learning Constrained Structured Spaces with Application to Multi-Graph Matching
Multi-graph matching is a prominent structured prediction task, in which the predicted label is constrained to the space of cycle-consistent matchings.
Ranked #4 on
Graph Matching
on Willow Object Class
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization
In this work, we learn the variance of these randomized structured predictors and show that it balances better between the learned score function and the randomized noise in structured prediction.
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