The Wayback Machine - https://web.archive.org/web/20220610145951/https://github.com/topics/cross-view
Here are
7 public repositories
matching this topic...
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Updated
Apr 22, 2022
Python
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
Updated
Jun 4, 2022
Python
[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Updated
Jul 25, 2021
Python
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Updated
Apr 22, 2022
Python
[ICCV 2019] Bridging the Domain Gap for Ground-to-Aerial Image Matching
SUES-200: A Multi-height Multi-scene Cross-view Image Benchmark Across Drone and Satellite
Updated
Jun 3, 2022
Python
Improve this page
Add a description, image, and links to the
cross-view
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
cross-view
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.
在test中,只是测试了数据集中的测试集,给出了结果。请问程序中有没有哪个地方可以得到提取步态特征的接口?或者说从哪里着手比较简单?
另外,如何加载一个训练好的模型同时不加载任何数据集(我看到test中是需要数据集的)?而采用在后续接口中输入数据的方式,我觉得这样更符合使用习惯。
因为对代码结构不太了解,对pytorch也是刚入门,以上问题想请教您该怎么入手解决?