3 accepted papers
Despite the impressive performance of large multimodal models (LMMs) in high-level visual tasks, their capacity for image quality assessment (IQA) remains limited. One main reason is that LMMs are primarily trained for high-level tasks (e.g., image captioning), emphasizing unified image semantics ex
Personalized federated learning (PFL) tailors models to clients' unique data distributions while preserving privacy. However, existing aggregation-weight-based PFL methods often struggle with heterogeneous data, facing challenges in accuracy, computational efficiency, and communication overhead. We
Extraterrestrial drilling is an important sampling method for understanding the formation of another celestial body and finding traces of life beyond earth. Currently, such tasks mainly rely on remotely controlled space robots. Because of limited energy available for space robots, it is highly deman