Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …

High-resolution aerial photographs of Arctic region are a great source for different sea ice
feature recognition, which are crucial to validate, tune, and improve climate models. Melt …

We consider a class of variable effort human annotation tasks in which the number of labels
required per item can greatly vary (eg, finding all faces in an image, named entities in a text …

Advances in deep neural networks (DNNs) have fostered a wide spectrum of intelligent
mobile applications ranging from voice assistants on smartphones to augmented reality with …

We propose a semi-automatic bounding box annotation method for visual object tracking by
utilizing temporal information with a tracking-by-detection approach. For detection, we use …

Abstract Human-in-the-loop (HITL), a key branch of Human–Computer Interaction (HCI), is
increasingly proposed in the research literature as a key assurance method for automated …

The goal of the multi-sound source localization task is to localize sound sources from the
mixture individually. While recent multi-sound source localization methods have shown …

The identification of the ship that contact with the buoy can provide evidence for accident
accountability. To this aim, the paper develops a probabilistic analytics method to evaluate …

State-of-the-art object detection methods gain increasing attention in various industrial
applications. However, current vision systems typically rely on cloud services for data …

This paper proposes a practical list of safety concerns and mitigation methods for visual
deep learning algorithms. The growing success of deep learning algorithms in solving non …