计算机视觉顶会引用格式

[1]      Girshick R. Fast R-CNN[C]. Proceedings of the IEEE International Conference on Computer Vision. Piscataway, NJ: IEEE, 2015: 1440-1448.

[2]      Ren S Q, He K M, Girshick R, et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 39(6): 1137-1149.

[3]      He K M, Gkioxari G, Dollar P, et al. Mask R-CNN[C]. Proceedings of the IEEE International Conference on Computer Vision. Piscataway, NJ: IEEE, 2017: 2980-2988.

[4]      Cai Z W, Vasconcelos N. Cascade R-CNN: delving into high quality object detection[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE Computer Society, 2018: 6154-6162.

[5]      Pang J M, Chen K, Shi J P, et al. Libra R-CNN: Towards balanced learning for object detection[C]. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE Computer Society, 2019: 821-830.

[6]      Lu X, Li B Y, Yue Y X, et al. Grid R-CNN[C]. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE Computer Society, 2019: 7363-7372.

[7]      Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE Computer Society, 2016: 779-788.

[8]      Liu W, Anguelov D, Erhan D, et al. SSD: single shot multibox detector[C]. European Conference on Computer Vision. Berlin: Springer, 2016: 21-37.

[9]      Redmon J, Farhadi A. Yolov3: an incremental improvement[EB/OL]. (2018-04-08) [2024-05-20]. https://doi.org/10.48550/arXiv.1804.02767.

[10]      Bochkovskiy A, Wang C Y, Liao H Y M. Yolov4: optimal speed and accuracy of object detection[EB/OL]. (2020-04-23) [2024-05-20]. https://doi.org/10.48550/arXiv.2004.10934.

[11]      Wang C Y, Bochkovskiy A, Liao H Y M. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C]. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Piscataway, NJ: IEEE, 2023: 7464-7475.

会议参考文献格式：

    其他会议格式建议使用https://www.engineeringvillage.com/search/quick.url，进行查询出版地：出版者，上述网站一般没有出版地，一般计算机视觉顶会CVPR,ICCV,ECCV都有固定的地方和出版者（网上百度即可，我下面也会给出例子），其他会议使用https://search.worldcat.org/zh-cn来查询出版地和出版者，只需要把论文集的名称输进去即可。

CVPR:Piscataway, NJ: IEEE Computer Society/(Piscataway, NJ: IEEE)具体是哪一个在 engineeringvillage可以查询到。

ECCV:Berlin: Springer

ICCV: Piscataway, NJ: IEEE