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Shashikala Valiki

Research Assistant

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Scholarly Papers (1)

1.

Unified Deep Learning Framework Integrating CNNs and Vision Transformers for Efficient and Scalable Solutions

Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024)
Number of pages: 16 Posted: 06 Jan 2025
Srinivasa Institute of Engineering and Technology, Microsoft Corp., US Bank, Research Assistant, Terna Engineering College and Sona College of Technology
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Abstract:

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Recently, the combination of CNNs and ViTs has shown to be a promising strategy to tackle challenging scenarios in the computer vision domain. This work proposes a Unified Deep Learning Architecture that combines the local feature extraction strength of CNNs with the global context modeling power of