Infrared small target detection plays an important role in the infrared search and tracking applications. In recent years, deep learning techniques have been introduced to this task achieved noteworthy effects. Following general object segmentation methods, existing methods usually process image from global view. However, locality of targets extreme class-imbalance between background pixels are...

Spatial frequency (SF) selection has long been recognized to play a role in global and local processing, though the nature of the relationship between SF processing and global/local perception is debated. Previous studies have shown that attention to relatively lower SFs facilitates global perception, and that attention to relatively higher SFs facilitates local perception. Here we recorded eve...

Abstract Video summarization is an effective way to facilitate video searching and browsing. Most of existing systems employ encoder-decoder based recurrent neural networks, which fail explicitly diversify the system-generated summary frames while requiring intensive computations. In this paper, we propose efficient convolutional network architecture for SUMmarization via Global Diverse Attenti...