Work

Highly efficient YOLOV9 model for detecting extremely small-scale objects

Year: 2025

Type: article

Source: Engineering Research Express

DOI: 10.1088/2631-8695/adc223

Authors: Vasanthi Ponduri, Laavanya Mohan, Shaik Basheera, Venkata Rao V, Uppalapati Chandan, K Praveena

Institutions: Vignan's Foundation for Science, Technology & Research, Narasaraopeta Engineering College, Acharya Nagarjuna University

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4408556945

FWCI: 3.258

Cites: 37

Cited by: 9

Related to: 10