CF-Net: Improving 1-Bit Target Classification Accuracy
Published:Dec 17, 2025 05:52
•1 min read
•ArXiv
Analysis
The paper introduces CF-Net, a novel approach for high-accuracy 1-bit target classification. This research likely explores efficiency improvements in specific applications like edge computing or resource-constrained environments.
Key Takeaways
- •Focuses on 1-bit target classification, indicating potential for resource-efficient models.
- •The core methodology involves Cross-Feature Reconstruction.
- •The paper is available on ArXiv, suggesting it is a research publication.
Reference
“CF-Net is a Cross-Feature Reconstruction Network.”