Open bhr001 opened 5 years ago
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!
@bhr001 @SampsonKwan How do you test? I wonder where the test code is. Thank you
@klyjb you can get test code from these two below . https://github.com/HelloRicky123/Siamese-RPN https://github.com/STVIR/pysot
@bhr001 Hello, I have some questions about the recurrence of SiamRPN++. Please contact me QQ: 975380547
@TeslaHua whats matter with your code?
@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?
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"notifications@github.com; 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"SiamRPN_plus_plus_PyTorch@noreply.github.com; 抄送: "白浩然"522184271@qq.com; "Mention"mention@noreply.github.com; 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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@SampsonKwan How to test on VOT?
thx for this great job at first!!! i trained this code ONLY in ILSVRC2015_finetune,not like mult-trained(eg: trained in COCO,YoutubebBB,ILSVRC2015) in paper,and i got the auc:0.50 for epoch 20 in OTB100 testset.It's much worse than the results in the paper(0.69). so Reasons for this phenomenon should be Too little training data?(only in ILSVRC2015)