Fine-grained Action Recognition using Attribute Vectors

Sravani Yenduri; Nazil Perveen; Vishnu Chalavadi; C. Krishna Mohan

doi:10.5220/0010828700003124

ScienceGate Book Chapters

JOURNAL ARTICLE

Fine-grained Action Recognition using Attribute Vectors

Sravani Yenduri Nazil Perveen Vishnu Chalavadi C. Krishna Mohan

Year: 2022 Journal: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications Pages: 134-143

DOI: 10.5220/0010828700003124

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Action recognition Action (physics) Artificial intelligence Pattern recognition (psychology)

Metrics

Cited By

0.21

FWCI (Field Weighted Citation Impact)

Refs

0.48

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fine-grained Action Recognition using Attribute Vectors

Metrics

Citation History

Topics

Related Documents

Fine-grained action recognition using dynamic kernels

Fine-grained action recognition using multi-view attentions

Exploiting Serialized Fine-Grained Action Recognition Using WiFi Sensing

Relation-Aware Attribute Network for Fine-Grained Clothing Recognition

Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition