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RTF-Q: Efficient Unsupervised Domain Adaptation with Retraining-free Quantization
Performing unsupervised domain adaptation on resource-constrained edge devices is
challenging. Existing research typically adopts architecture optimization (eg, designing …
challenging. Existing research typically adopts architecture optimization (eg, designing …
[PDF][PDF] A Subdomain-Specific Knowledge Distillation for Unsupervised Domain Adaptation in Adverse Weather Conditions
Method. The architecture consists of two subdomain teachers, a student, and a student
exponential moving average (EMA) model. Our method performs self-training on each …
exponential moving average (EMA) model. Our method performs self-training on each …
Resource Efficient Test-Time Training with Slimmable Network
Test-Time Training (TTT), an innovative paradigm for enhancing a model's generalization in
a specific future scenario, commonly leverages self-supervised learning to adapt the model …
a specific future scenario, commonly leverages self-supervised learning to adapt the model …