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Found 3 papers, 1 papers with code
Compact Twice Fusion Network for Edge Detection
In this work, we propose a Compact Twice Fusion Network (CTFN) to fully integrate multi-scale features while maintaining the compactness of the model.
Unsupervised Representation Learning with Laplacian Pyramid Auto-encoders
Scale-space representation has been popular in computer vision community due to its theoretical foundation.
Unsupervised domain adaption dictionary learning for visual recognition
However, when the data instances of a target domain have a different distribution than that of a source domain, the dictionary learning method may fail to perform well.
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