Authors: Wenkai Gong

Published on: March 04, 2024

Impact Score: 7.8

Arxiv code: Arxiv:2403.01736

Summary

• What is new: Optimized YOLOv7 using Group Convolution, ShuffleNetV2, and Vision Transformer for mobile platforms.
• Why this is important: Deploying efficient object detection algorithms on mobile devices.
• What the research proposes: Refining YOLOv7 for better speed and accuracy on mobile devices using advanced techniques.
• Results: Significantly improved processing speed and maintained high detection accuracy.

Technical Details

Technological frameworks used: YOLOv7

Models used: Group Convolution, ShuffleNetV2, Vision Transformer

Data used: nan

Potential Impact

Mobile technology companies, app developers, security and surveillance industries.

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