Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

GAFF论文在FLIR数据集中每个类的AP实验结果 #3

Open
TJUsym opened this issue Feb 22, 2022 · 0 comments
Open

GAFF论文在FLIR数据集中每个类的AP实验结果 #3

TJUsym opened this issue Feb 22, 2022 · 0 comments

Comments

@TJUsym
Copy link

TJUsym commented Feb 22, 2022

张博士你好,您在多光谱领域做出了很大的贡献!我目前刚刚入门这个领域,在做实验时候想要获取您的GAFF [1]、DAL [2]在FLIR数据集上的每个类别(Car,Person,Bicycle)的AP值,进行对比。
特此和您联系,十分希望能获得您当时论文中相应的实验结果。
mAP50 Car Person Bicycle
GAFF[1] 72.90% ? ? ?
DAL[2] 72.10% ? ? ?

[1] H. Zhang, E. Fromont, S. Lefevre, and B. Avignon, “Guided attentive feature fusion for multispectral pedestrian detection,” in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2021, pp. 72–80.
[2] H. Zhang, E. Fromont, S. Lefevre, and B. Avignon, “Deep active learning from multispectral data through cross-modality prediction inconsistency,” in 2021 IEEE International Conference on Image Processing (ICIP), 2021, pp. 449–453.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant