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$β$-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck
We present a framework for learning disentangled representation of CapsNet by information bottleneck constraint that distills information into a compact form and motivates to learn an interpretable factorized capsule.
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection
The extensive research leveraging RGB-D information has been exploited in salient object detection.
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