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Found 3 papers, 1 papers with code
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training
The first loss applies curriculum learning, forcing each feature extractor to specialize to a subset of the training subjects and promoting feature diversity.
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition
At the heart of our network is a meta-learning approach that learns to compare representations of variable temporal length, that is, either two videos of different length (in the case of few-shot action recognition) or a video and a semantic representation such as word vector (in the case of zero-shot action recognition).
Ranked #7 on
Few Shot Action Recognition
on Kinetics-100
Non-linear Convolution Filters for CNN-based Learning
However, while recent research results of neuroscience prove the existence of non-linear operations in the response of complex visual cells, little effort has been devoted to extend the convolution technique to non-linear forms.
