While topic models can discover patterns of word usage in large corpora, it is difficult to meld
this unsupervised structure with noisy, human-provided labels, especially when the label …

Image denoising is a fundamental task in low-level computer vision. The well-known CNN-
UNet model with encoder and decoder has shown excellent denoising performance. The …

This paper presents a labeling methodology for marine life data using a weakly supervised
learning framework. The methodology iteratively trains a deep learning model using non …

Over the last decade, Computer Vision, the branch of Artificial Intelligence aimed at
understanding the visual world, has evolved from simply recognizing objects in images to …

Capturing human annotators' subjective responses in image annotation has become crucial
as vision-based classifiers expand the range of application areas. While there has been …

Image denoising is a typical ill-posed problem due to complex degradation. Leading
methods based on normalizing flows have tried to solve this problem with an invertible …

Poorly maintained sidewalks pose considerable accessibility challenges for mobility
impaired persons; however, there are currently few, if any, mechanisms to determine …

Classifying is human. Classifying is also what machine vision technologies do. This article
analyses the cybernetic loop between human and machine classification by examining …

In recent years, the research of deep learning has received extensive attention, and many
breakthroughs have been made in various fields. On this basis, a neural network with the …

Recently, taxonomy has attracted much attention. Both automatic construction solutions and
human-based computation approaches have been proposed. The automatic methods suffer …