开源代码文献.doc


立即下载 喜欢一个人丶
2024-04-16
https ​​ " Deep ​github.com​ Practices Good works wide-crowd-flows-prediction works-for-city
68.5 KB

人群分析 
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction 
https://www.microsoft.com/en-us/research/publication/deep-spatio-temporal-residual-networks-for-citywide-crowd-flows-prediction/ (​https:​/​​/​www.microsoft.com​/​en-us​/​research​/​publication​/​deep-spatio-temporal-residual-networks-for-citywide-crowd-flows-prediction​/​" \t "_blank​) 
https://github.com/lucktroy/DeepST/tree/master/scripts/papers/AAAI17 (​https:​/​​/​github.com​/​lucktroy​/​DeepST​/​tree​/​master​/​scripts​/​papers​/​AAAI17" \t "_blank​)
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition ECCV2016 
https://github.com/yjxiong/temporal-segment-networks (​https:​/​​/​github.com​/​yjxiong​/​temporal-segment-networks" \t "_blank​)
Towards Good Practices for Very Deep Two-stream ConvNets 
http://yjxiong.me/others/action_recog/ (​http:​/​​/​yjxiong.me​/​others​/​action_recog​/​" \t "_blank​) 
https://github.com/yjxiong/caffe (​https:​/​​/​github.com​/​yjxiong​


https/​​/"_blank​/Deep/​github.com​/Practices/Good/works/wide-crowd-flows-prediction/works-for-city/ https/​​/"_blank​/Deep/​github.com​/Practices/Good/works/wide-crowd-flows-prediction/works-for-city/
-1 条回复
登录 后才能参与评论
-->