The application of computer vision methods to nuanced, subjective concepts is growing.
While crowdsourcing has served the vision community well for most objective tasks (such as …

Rare categories abound in a number of real-world networks and play a pivotal role in a
variety of high-stakes applications, including financial fraud detection, network intrusion …

The classification of underwater acoustic signals has garnered a great deal of attention in
recent years due to its potential applications in military and civilian contexts. While deep …

Pollen is used to investigate a diverse range of ecological problems, from identifying plant–
pollinator relationships to tracking flowering phenology. Pollen types are identified …

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 …

Image recognition on expert domains is usually fine-grained and requires expert labeling,
which is costly. This limits dataset sizes and the accuracy of learning systems. To address …

Complex video queries can be answered by decomposing them into modular subtasks.
However, existing video data management systems assume the existence of predefined …

A severe bandwidth mismatch between incoming sensor data rate and wireless backhaul
bandwidth often exists on unmanned probes when collecting new training data for machine …

We introduce VOCALExplore, a system designed to support users in building domain-
specific models over video datasets. VOCALExplore supports interactive labeling sessions …

Essential for an unfettered data market is the ability to discreetly select and evaluate training
data before finalizing a transaction between the data owner and model owner. To safeguard …