Graph-based Multi-scale Representation Learning for Occluded Object  Detection

Ayush Shukla, Dr. Abhay Shukla

Graph-based Multi-scale Representation Learning for Occluded Object Detection

Authors

Ayush Shukla, Dr. Abhay Shukla

Keywords:

Graph Neural Networks, Multi-scale Learning, Occluded Object Detection, Deep Learning, Computer Vision

Abstract

Occluded object detection remains one of the most challenging problems in computer vision, particularlyin complex real-world scenarios such as crowded environments, autonomous driving, intelligent surveillance, and robotics applications

References

S. Ren, K. He, R. Girshick, and J. Sun, “Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 6, pp. 1137–1149, 2017.

J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, “You Only Look Once: Unified, Real-Time Object Detection,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 779–788, 2016

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Published

2024-12-20

How to Cite

Ayush Shukla, Dr. Abhay Shukla. (2024). Graph-based Multi-scale Representation Learning for Occluded Object Detection . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8466–8472. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5337