Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss

Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss

As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural Network (CNN), the Transformer, or a combination of both as the backbone. However, the convolutional operation o...

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Bibliographic Details
Main Authors: Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
transformer
contrastive learning
piecewise loss function
image classification
Online Access:https://ieeexplore.ieee.org/document/11016708/
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