2021
Attentional Constellation Nets for Few-Shot Learning
ICLR 2021poster
The success of deep convolutional neural networks builds on top of the learning of effective convolution operations, capturing a hierarchy of structured features via filtering, activation, and pooling. However, the explicit structured features, e.g. object parts, are not expressive in the existing C…