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MRSN: Multi-Relation Support Network for Video Action Detection
Action detection is a challenging video understanding task, requiring modeling spatio-temporal and interaction relations.
Uncertainty-based Network for Few-shot Image Classification
Specifically, we first data augment and classify the query instance and calculate the mutual information of these classification scores.
Learning Class-level Prototypes for Few-shot Learning
Few-shot learning aims to recognize new categories using very few labeled samples.
Channel Relationship Prediction with Forget-Update Module for Few-shot Classification
The proposed pipeline, which consists of channel vector sequence construction module and forget-update module, can infer the relationship between the query sample and support samples in few-shot classification scenario.
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