Advancements in Deep Learning for Computer Vision
Cite this paper
Mikuro, G. (2024). Advancements in Deep Learning for Computer Vision. Journal of Computer Vision Research, 12(4), 278-295. https://doi.org/10.1234/jcvr.2024.0217
Abstract
This paper presents novel approaches to deep learning architectures for computer vision tasks. We introduce a modified convolutional neural network that achieves state-of-the-art performance on image classification benchmarks while requiring significantly fewer parameters than existing models. Our approach demonstrates a 15% improvement in accuracy on the ImageNet dataset compared to previous methods, while reducing model size by 30%.
Publication Details
- Journal: Journal of Computer Vision Research
- Volume: 12
- Issue: 4
- Pages: 278-295
- Year: 2024
- DOI: 10.1234/jcvr.2024.0217
- Publisher: CV Research Association