AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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LG-PF, a lightweight confidence-guided framework that formulates polarization fusion as a selective residual transfer process, achieves competitive fusion quality with low computational cost and shows promising transferability without fine-tuning.
Generalizable vehicle re-identification (ReID) seeks to develop models capable of adapting to previously unseen domains without additional fine-tuning or retraining. Most existing approaches attempt to learn domain-invariant representations by aligning data distributions across source domains. However, they often negle...
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