Latest Articles for Data Annotation

A new method generates detailed labels for semantic segmentation using synthetic data.

Whombat streamlines sound recording annotation for wildlife research.

Introducing an active learning method that combines uncertainty and diversity for improved labeling efficiency.

A new dataset enhances machine learning for answering visual questions accurately.

This study reviews NER model performance on Dungeons and Dragons adventure books.

A new method improves medical question summarization using both text and images.

Introducing Neat, an efficient method for classifying known and unknown data categories.

New method improves video captioning using image-language models.

Large language models enhance the accuracy of chest X-ray report labeling.

FineBio offers a dataset for tracking actions in biological experiments through video.

A new method for adapting LLMs without extensive labeling.

This framework improves annotation diversity while reducing costs in NLP tasks.

A new multilingual corpus improves argument generation and analysis.

Explore how Online Active Learning improves sound recognition efficiency.

New methods reduce human labeling while improving object detection accuracy.

A study comparing GPT-4 and crowdsourcing in data labeling tasks.

New dataset DANSK enhances Danish NER performance across various texts.

A method to enhance fairness in machine learning models for image-text tasks.

A new method for improved semantic segmentation with limited examples.

HawkEye enhances video-text models to process longer videos effectively.

A new method enhances the quality of semantic segmentation datasets.

A new method for classifying sonar images using fewer labels.

New dataset and methods enhance NER for Bavarian dialect recognition.

A method for creating coherent text from multiple document highlights.

Learn how X-AMR transforms event coreference resolution with graphical representation.

Study shows weak labels enhance gloss prediction accuracy while reducing manual effort.

A new method improves action recognition in unedited videos using few examples.

A method for improving melody extraction across different music styles with minimal human effort.

A unique corpus enhances named entity recognition across six Slavic languages.

Introducing a model to improve safety in language generation and reduce risks.

This work focuses on identifying important scenes to enhance movie script summaries.

SportsHHI focuses on human interactions in basketball and volleyball videos for improved analysis.

A new framework for safer interactions with large language models.

SPAM offers a smarter way to label video data efficiently.

A new approach enhances segmentation in medical images without detailed labels.

New methods improve object tracking and annotation efficiency in video processing.

A new method uses questions to identify event roles in documents.

Transforming an MCQA dataset for extractive questions in multiple languages.

A new method enhances image descriptions for training AI models.

An overview of issues and methods in cerebrovascular segmentation for medical imaging.