Comments (8)
SampsonKwan
commented on July 20, 2024
So do i. I trained on ILSVRC2015, and evaluated on VOT2018 and only got ACC: 0.47 (epoch 20), the results reported in the paper is 0.6. @PengBoXiangShang Would you mind providing the pretrained checkpoint or evaluation code? Gratefully!
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klyjb
commented on July 20, 2024
@bhr001 @SampsonKwan How do you test? I wonder where the test code is. Thank you
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bhr001
commented on July 20, 2024
@klyjb
you can get test code from these two below .
https://github.com/HelloRicky123/Siamese-RPN
https://github.com/STVIR/pysot
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TeslaHua
commented on July 20, 2024
@bhr001 Hello, I have some questions about the recurrence of SiamRPN++. Please contact me QQ: 975380547
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bhr001
commented on July 20, 2024
@TeslaHua whats matter with your code？
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TeslaHua
commented on July 20, 2024
@bhr001 Have you improved the effect of running the model reproduced by this author? Have you found out that this model is different from the SiamRPN++ model in the paper?
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bhr001
commented on July 20, 2024
你说的不同在哪里？我觉得模型一样的，结果不一样是因为paper里在多数据集训练，但现在这个作者的代码只在一个数据集训练，所以泛化能力远不够，分不高
…------------------ 原始邮件 ------------------
发件人: "华子"<[email protected]>;
发送时间: 2019年5月24日(星期五) 下午4:39
收件人: "PengBoXiangShang/SiamRPN_plus_plus_PyTorch"<[email protected]>;
抄送: "白浩然"<[email protected]>; "Mention"<[email protected]>;
主题: Re: [PengBoXiangShang/SiamRPN_plus_plus_PyTorch] worse result fortest auc in otb100 (#9)
@bhr001 Have you improved the effect of running the model reproduced by this author? Have you found out that this model is different from the SiamRPN++ model in the paper?
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TeslaHua
commented on July 20, 2024
@SampsonKwan How to test on VOT?
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Related Issues (16)
- about auc
- 您好，轻微有youtube-bb数据库吗 HOT 2
- When will the test code be published? HOT 3
- About the IOU
- 训练完的结果，保存在哪个目录
- Do you know the loss of siamrpn++ in detail?
- Transfer Learning
- where is the raw results?
- How much lmdb format training can improve the training speed?
- can you please tell your result in
- how to test？ About FPS?
- 训练过程 HOT 1
- 请教 HOT 2
- the question about random_shift_factor HOT 6
- pretrained model
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