Memory-space-memory (MSM) arrangement is a popular architecture to implement three-stage Clos-network switches with distributed arbitration. The scalability of this architecture, however, is limited by the round-trip communication delay between the first and the second stages. Moreover, virtual output queue (VOQ) does not completely remove the blocking in the buffered modules under multi-class ...

Object detection has drawn the attention of many researchers due to its wide application in computer vision-related applications. In this paper, a novel model is proposed for object detection. Firstly, new neck designed model, including an efficient SPPNet (Spatial Pyramid Pooling Network), modified NLNet (Non Local Network) and lightweight adaptive feature fusion module. Secondly, head with do...

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...