Few-shot action recognition aims to recognize novel classes (query) using just a few samples (support). The majority of current approaches follow the metric learning paradigm, which learns compare similarity between videos. Recently, it has been observed that directly measuring this is not ideal since different instances may show distinctive temporal distribution, resulting in severe misalignme...

Images taken in extremely low light suffer from various problems such as heavy noise, blur, and color distortion. Assuming the low-light images contain a good representation of scene content, current enhancement methods focus on finding suitable illumination adjustment but often fail to deal with noise Recently, some works try suppress reconstruct raw data. But these apply network instead an im...

The main difference between conventional data envelopment analysis (DEA) and network (NDEA) lies in the internal structure of a decision-making unit (DMU). Most existing NDEA methodologies neglect to address issue incorporating influence intermediate, directly objective function. To overcome this shortcoming, paper, based on feature SBM model, researcher is setting an NSBM model for evaluating ...