We introduce a powerful student-teacher framework for the challenging problem of
unsupervised anomaly detection and pixel-precise anomaly segmentation in high-resolution …

Interpretable methods based on prototypical patches recognize various components in an
image in order to explain their reasoning to humans. However, existing prototype-based …

Retinex theory is developed mainly to decompose an image into the illumination and
reflectance components by analyzing local image derivatives. In this theory, larger …

In the process of image understanding, the human visual system (HVS) performs multiscale
analysis on various objects. HVS primarily focuses on marginally conspicuous image …

Image cropping is a commonly used post-processing operation for adjusting the scene
composition of an input photography, therefore improving its aesthetics. Existing automatic …

Recent GAN‐based image inpainting approaches adopt an average strategy to discriminate
the generated image and output a scalar, which inevitably lose the position information of …

Segmenting handwritten document images into regions with homogeneous patterns is an
important pre-processing step for many document images analysis tasks. Hand-labeling …

Sedimentary facies distribution is a vital reference for oil and gas exploration in an offshore
area. One of remaining questions in a marine exploration area is to acquire an accurate …

We present an unsupervised deep learning method for text line segmentation that is inspired
by the relative variance between text lines and spaces among text lines. Handwritten text …

We present a novel approach to learning a point-wise, meaningful embedding for point-
clouds in an unsupervised manner, through the use of neural-networks. The domain of point …