A face detection method via ensemble of four versions of YOLOs

Author:

Khalili Sanaz1,Shakiba Ali1

Affiliation:

1. Vali-e-Asr University of Rafsanjan,Department of Computer Sciences,Rafsanjan,Iran

Publisher

IEEE

Reference20 articles.

1. Faster R-CNN?: Towards Real-Time Object Detection with Region Proposal Networks;ren,0

2. Fast r-cnn;girshick;Proceedings of the IEEE International Conference on Computer Vision,2015

3. What is YOLO Object Detection?;j?drzej ?wie?ewski,2020

4. Deformable part models are convolutional neural networks

5. Darknet: Open source neural networks in C;redmon,2018

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1. Efficient Real-Time Face Recognition-Based Attendance System with Deep Learning Algorithms;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

2. A Deep Learning Approach to Identify Fresh and Stale Fruits and Vegetables with YOLO;2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS);2023-04-19

3. Image Quantization Tradeoffs in a YOLO-based FPGA Accelerator Framework;2023 24th International Symposium on Quality Electronic Design (ISQED);2023-04-05

4. YOLOv7-RAR for Urban Vehicle Detection;Sensors;2023-02-06

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