This paper studies co-segmenting the common semantic object in a set of
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This paper proposes an automatic image co-segmentation algorithm based o...
The field of meta-learning has seen a dramatic rise in interest in recen...
Knowledge embedded in the weights of the artificial neural network can b...
Natural gradient descent (NGD) provided deep insights and powerful tools...
Image co-segmentation has attracted a lot of attentions in computer visi...
Sparse neural networks are important for achieving better generalization...
Deep Metric Learning (DML) is helpful in computer vision tasks. In this
...
This paper proposes a meta-learning approach to evolving a parametrized ...
Current Computer-Aided Diagnosis (CAD) methods mainly depend on medical
...
The popular softmax loss and its recent extensions have achieved great
s...
Mammography remains the most prevalent imaging tool for early breast can...
Image co-segmentation is important for its advantage of alleviating the
...
Automatic segmentation of liver tumors in medical images is crucial for ...