daodaofr/hypergraph_reid
Code for CVPR 2020 paper Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
Python
Issues
- 0
请问这个模型是否没有用到mi_loss,代码里没有看到
#18 opened by yaohusama - 0
About trained models
#17 opened by Peanut736 - 2
注意力超图特征聚合的代码
#16 opened by YUANI12580 - 0
请问定义时间粒度的代码在哪,BatchedGraphSAGEDynamicRangeMean1中比较相关的只看到了 t=3,而不是论文中所说的(1,3,5)
#15 opened by YUANI12580 - 0
KeyError: 'state_dict'
#14 opened by lucky85712 - 1
- 0
- 0
RuntimeError: cublas runtime error
#11 opened by Huhaowen0130 - 1
- 2
About the mutual information
#10 opened by peterzpy - 4
评估每个超边的重要性的代码
#8 opened by 13121283123 - 14
loss converges to 4.4, map only reaches 60.0%, rank1 only reaches 73.3%, learning rate is set to 0.000075, and the step size is 100.
#6 opened by Seven-gcc - 1
Any trained weights/checkpoints provided?
#7 opened by Mozijie255 - 2
where is the resnet50-19c8e357.pth
#5 opened by FJP123 - 7
- 0
Cannot get train data.
#4 opened by JieZhou0805 - 5
code availability: is there any update?
#2 opened by jpainam - 2
请问,什么时候开源代码?十分感谢。
#1 opened by zhangzhengjie626