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Barış Dinç

As seen in: Wiley Online Library, PeerJ
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Articles

Improved object detection approach employing adaptive padding and Viola-Jones algorithm

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By Kim T-S, Barış Dinç, Yasin Kaya, Al-Antari MA
| PeerJ
The proposed method achieved a balance between detection accuracy and processing speed by narrowing the object candidate regions for both single-stage and region proposal-based object detectors. Figure 6 presents the training and validation performance of the proposed model (a) compared with the baseline YOLOv8 (b).
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A Two‐Stage Region Proposal Optimization for Efficient Bird Detection in Deep Learning Pipelines

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By Yasin Kaya, Barış Dinç
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. References 1, , , and , “Object Detection With Deep Learning: A Review,” IEEE Transactions on Neural Networks and Learning Systems 30, no. 11 (2019): 3212–3232, https://doi.org/10.1109/TNNLS.2018.2876865. 2, , , et al., “Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges,” IEEE Transactions on Intelligent Transportation Systems 22, no.
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