Attending to a stimulus enhances the sensitivity of perceptual decisions. However, it remains unclear how perceptual sensitivity varies according to whether a feature is expected or unexpected. Here, observers made fine discrimination judgments about the orientation of visual gratings embedded in low spatial-frequency noise, and psychophysical reverse correlation was used to estimate decision '...

Constrained by the physics of hyperspectral sensors, spatial resolution images (HSI) is low. Hyperspectral image super-resolution (HSI SR) a task to obtain high-resolution from low-resolution images. Existing algorithms have problem losing important spectral information while improving resolution. To handle this problem, spatial-spectral feature extraction network (SSFEN) for HSI SR proposed in...

Object detection and tracking has always been one of the important research directions in computer vision. The purpose is to determine whether object contained input image enclose with a bounding box. However, most methods are applied daytime objects, processing nighttime objects imprecise. In this paper, spectral-spatial feature enhancement algorithm for proposed, which inspired by symmetrical...