SEAT-YOLO: A squeeze-excite and spatial attentive you only look once architecture for shadow detection

Author:

Kumar AkhilORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference30 articles.

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3. A. Bochkovskiy, C.-Y. Wang, H.-Y.M. Liao, 2021. YOLOv4: Optimal Speed and Accuracy of Object Detection, arXiv (2021), https://arxiv.org/abs/2004.10934.

4. C.-Y. Wang, A. Bochkovskiy, H.-Y.M. Liao, 2022. YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, arXiv (2022), https://arxiv.org/abs/2207.02696.

5. An improved tiny-yolov3 pedestrian detection algorithm;Zhang;Optik,2019

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