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Rethinking Evaluation Metric for Probability Estimation Models Using Esports Data
In this work, we firstly investigate the Brier score and the Expected Calibration Error (ECE) as a replacement of accuracy used as a performance evaluation metric for win probability estimation models in esports field.
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation
We present a novel unsupervised domain adaptation method for semantic segmentation that generalizes a model trained with source images and corresponding ground-truth labels to a target domain.
Learning with Privileged Information for Efficient Image Super-Resolution
The student and the decoder in the teacher, having the same network architecture as FSRCNN, try to reconstruct HR images.
Learning Semantic Correspondence Exploiting an Object-level Prior
We address the problem of semantic correspondence, that is, establishing a dense flow field between images depicting different instances of the same object or scene category.
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