Abstract: Existing manual labeling of micro-expressions is subject to errors in accuracy, especially in cross-cultural scenarios where deviation in labeling of key frames is more prominent. To address ...

Abstract: The fast expansion of deep learning models has led to an increasing need for well-annotated datasets, while traditional manual annotation cannot meet this requirement. Current research on ...

Alconost, a localization company working with a network of 3,500+ professional linguists across more than 120 language pairs, today announced the launch of the Alconost MQM Annotation Tool, a free, ...

MaskMe is a modern, annotation-based Java library for dynamically masking sensitive data in objects. It supports both regular Java classes and Java Records, with conditional masking based on runtime ...

In recent years, the rapid development of machine vision based on artificial intelligence (AI) has gained increasing attention in agriculture (Abbasi et al., 2022; Maraveas, 2024). This becomes ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

Learn how to use pattern-matching features in your Java programs, including pattern matching with switch statements, when clauses, sealed classes, and a preview of primitive type pattern matching in ...

Have you ever thought about how sports analysts predict match outcomes? They use techniques from players’ past games to make their predictions. Sometimes, the analysts also determine what kind of shot ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...