Comments (3)
Thanks for your great works and I found this repo to be really helpful.
Yet, other than the best-performing model CIResNet-22, I am also interested in several variants that's discussed in your paper, including the light-weight CIResNet-16 and the deeper CIResNet-43. However, I did not find the pre-trained model nor the code in the repo.
Could you please also share those models?
Thanks in advance.
Hi~ Thanks for your interest. I will try to find these models in my server (:). Could u leave your email? I'll send it to you later.
from siamdw.
Thank you very much! my email is "[email protected]" :)
from siamdw.
Thank you very much! my email is "[email protected]" :)
You are some welcome. I'll send it to you asap. If you have other questions, please email me [email protected].
from siamdw.
Related Issues (20)
- Tracker Parameters HOT 1
- can't reproduced the result in paper HOT 3
- "Set up VOT-Toolkit according to official tutorial" HOT 1
- occlusion problem while testing HOT 1
- 请问SiamDW_T的训练方式是否和SiamDW一样 HOT 2
- vot测试结果 HOT 4
- 请问每个epoch使用多少对数据?
- 使用新資料重新訓練模型
- How do I get pre trained my Backbone network with imagenet?
- torch.nn.modules.module.ModuleAttributeError: 'SiamRPNRes22' object has no attribute 'module'
- How you get the pretrain model? HOT 4
- When i test,i use"python siamese_tracking/run_video.py --arch SiamRPNRes22 --resume snapshot/CIResNet22_RPN.pth --video videos/bag.mp4",but there is a KeyError:"SiamRPNRes22" HOT 1
- test problems
- failed to fetch data from googledrive
- failed to download protained_model in SiamDW_T,it's not found
- the number
- the number of parameters and flops of tracker
- The argument list of lib/core/workspace_load.m may be wrong.
- 关于ResNet22W的训练过程 HOT 2
- Failed to reach google drive's link
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