Improving Surveillance Object Detection with Adaptive Omni-Attention over Both Inter-frame and Intra-frame Context-Reference-Cited by-同舟云学术

Improving Surveillance Object Detection with Adaptive Omni-Attention over Both Inter-frame and Intra-frame Context

Published:2023 Issue: Volume: Page:222-237
ISSN:0302-9743
Container-title:Computer Vision – ACCV 2022
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Author:

Yu Tingting,Chen Chen,Zhou Yichao,Hu Xiyuan

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-26284-5_14

Reference33 articles.

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3. Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems 28 (2015)

4. Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 779–788 (2016)

5. Lecture Notes in Computer Science;W Liu,2016

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