Improved feature extraction network in lightweight YOLOv7 model for real-time vehicle detection on low-cost hardware

• المؤلفون الرئيسيون: Andika, Johan Lela, Khairuddin, Anis Salwa Mohd, Ramiah, Harikrishnan, Kanesan, Jeevan
• التنسيق: مقال
• منشور في: Springer 2024
• الموضوعات: QA75 Electronic computers. Computer science; TK Electrical engineering. Electronics Nuclear engineering
• الوصول للمادة أونلاين: http://eprints.um.edu.my/45256/; https://doi.org/10.1007/s11554-024-01457-1
• المؤسسة: Universiti Malaya

The advancement of unmanned aerial vehicles (UAVs) has drawn researchers to update object detection algorithms for better accuracy and computation performance. Previous works applying deep learning models for object detection applications required high graphics processing unit (GPU) computation powe...