AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Towards source-free domain adaptation: a model-heterogeneous perspective
A Peer-level Heterogeneous Perception Framework is proposed that departs from such paradigms by enabling balanced collaboration between heterogeneous models by introducing an auxiliary domain that is significantly different from the target domain and employ an auxiliary model with the same architecture as the source mo...
Semisupervised Adaptation of Vision-Language Models for Image Classification
Results on the UC Merced (UCM) and NWPU benchmarks indicate that SE-CLIP significantly outperforms existing semi-supervised approaches and provides a viable solution for adapting VLMs to the remote sensing domain with minimal human intervention.