20 citations · 35 across the 10 of their papers we have counts for
4 papers · 1 filter
Online Continual Learning via the Knowledge Invariant and Spread-out Properties
Ya-nan Han, Jian-wei Liu
The goal of continual learning is to provide intelligent agents that are capable of learning continually a sequence of tasks using the knowledge obtained from previous tasks while…
-CapsNet: Learning Disentangled Representation for CapsNet by Information Bottleneck
Ming-fei Hu, Jian-wei Liu
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…
Selecting Related Knowledge via Efficient Channel Attention for Online Continual Learning
Ya-nan Han, Jian-wei Liu
Continual learning aims to learn a sequence of tasks by leveraging the knowledge acquired in the past in an online-learning manner while being able to perform well on all previous…
Multi-Scale Iterative Refinement Network for RGB-D Salient Object Detection
Ze-yu Liu, Jian-wei Liu, Xin Zuo +1
The extensive research leveraging RGB-D information has been exploited in salient object detection. However, salient visual cues appear in various scales and resolutions of RGB ima…