Work

Efficiency and Adaptability of Deep Learning Architectures: A Performance Comparison of CNN, Transformer, and Hybrid Models

Year: 2025

Type: conference-paper

Source: International Conference on Computer Vision, Application, and Algorithm (CVAA)

DOI: 10.1109/cvaa66438.2025.11193320

Author: Manqi Yang

Institution: North China University of Water Resources and Electric Power

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: W4415180292

FWCI: 1.57

Cites: 4

Cited by: 2

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