Latest Articles for Data Annotation

This framework enhances object tracking accuracy with reduced human input.

ADSumm provides crucial summaries for better disaster response.

This article discusses salutary labeling, a method to reduce human input in machine learning.

A new method uses extreme points for effective instance segmentation with minimal annotation.

This study explores advanced methods for efficient data labeling using neural network techniques.

This study explores how to create sentences that maintain specific meanings using FrameNet.

A study introduces a new benchmark for prompt performance in creating and retrieving images.

AGB-DE helps assess the validity of clauses in German consumer contracts.

SRFUND offers detailed annotations for better document processing across multiple languages.

Assessing LLMs' role in improving structured representation of scientific papers.

MMScan enhances AI’s ability to comprehend complex 3D environments with extensive annotations.

ANNEAL method reduces labeling costs while enhancing image retrieval performance.

WeCLIP improves weakly supervised segmentation using CLIP with minimal labeling effort.

This study examines biases in AI models during hate speech data labeling.

A new dataset to improve machine interpretation of remote sensing images.

A new network improves 3D object detection using weak labels.

This paper showcases a method for using LLMs to annotate tabular data with minimal human effort.

This study examines LLMs as a cost-effective alternative for text classification.

SAVE model enhances audio-visual segmentation with efficiency and precision.

Discover how AI is transforming image annotation for better accuracy and speed.

A new method reduces the need for labeled data in computer vision tasks.

The AMEX dataset enhances AI understanding of mobile app interfaces.

New method improves how deep learning models segment 3D medical images.

A new approach to finding video moments using natural language queries.

A new method that enhances object detection using noisy crowdsourced labels.

A new method reduces reliance on human annotations in image segmentation.

Gaze data helps reduce labeling efforts in medical image analysis.

SPIN offers detailed subpart annotations to improve image recognition.

New dataset enhances object recognition through detailed part annotations.

A new model to evaluate chance agreement in text annotation tasks.

A new approach enhances organ segmentation in medical images using partially labeled datasets.

Quality image annotations are key to AI success in image analysis.

An efficient tool for labeling videos enhances object detection training.

New framework enhances speech recognition for diverse Arabic dialects.

A new annotated corpus boosts event-argument extraction in Arabic texts.

Improving data quality through collaborative efforts in the annotation process.

A new method enhances example selection for better model learning.

This study examines how different summarization methods affect quality and content.

This article discusses counterfactual data augmentation in active learning for improved model performance.

MaterioMiner dataset connects materials mechanics with scientific literature for improved research.