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Found 4 papers, 1 papers with code
Balancing Similarity and Complementarity for Federated Learning
Our framework aims to approximate an optimal cooperation network for each client by optimizing a weighted sum of model similarity and feature complementarity.
MetaAge: Meta-Learning Personalized Age Estimators
Unlike most existing personalized methods that learn the parameters of a personalized estimator for each person in the training set, our method learns the mapping from identity information to age estimator parameters.
Ranked #1 on
Age Estimation
on ChaLearn 2015
Rethinking Audio-visual Synchronization for Active Speaker Detection
This clarification of definition is motivated by our extensive experiments, through which we discover that existing ASD methods fail in modeling the audio-visual synchronization and often classify unsynchronized videos as active speaking.
Reasoning Graph Networks for Kinship Verification: from Star-shaped to Hierarchical
To address this, we propose a Star-shaped Reasoning Graph Network (S-RGN).
Ranked #1 on
Kinship Verification
on KinFaceW-I
