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Found 3 papers, 1 papers with code
FedPD: Federated Open Set Recognition with Parameter Disentanglement
To this end, we aim to study a novel problem of federated open-set recognition (FedOSR), which learns an open-set recognition (OSR) model under federated paradigm such that it classifies seen classes while at the same time detects unknown classes.
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
To address this problem, we propose a personalized retrogress-resilient framework to produce a superior personalized model for each client.
Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks
In this model, the occlusion probability of each position in high-level features are inferred by a distillation module that can be learnt automatically in the process of estimating the relationship between facial appearance and facial shape.
Ranked #39 on
Face Alignment
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