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SSD #2
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Hi, currently I dont have ssd results |
你好,我想问下那个resnet50-h是通道数为一半的resnet50而不是float16的resnet50?
…---Original---
From: "twang"<notifications@github.com>
Date: Fri, Jun 14, 2019 18:11 PM
To: "twangnh/Distilling-Object-Detectors"<Distilling-Object-Detectors@noreply.github.com>;
Cc: "Author"<author@noreply.github.com>;"疯狂三角肌"<517332051@qq.com>;
Subject: Re: [twangnh/Distilling-Object-Detectors] SSD (#2)
Hi, currently I dont have ssd results
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The resnet50-h is obtained with halving each layer's channel number of resnet50 |
谢谢,还有一个问题您的论文中frcnn使用的是roipooling还是roialign?因为我在做过实验室roipooling和roipooling差别很大的。
…---Original---
From: "twang"<notifications@github.com>
Date: Wed, Jun 19, 2019 11:01 AM
To: "twangnh/Distilling-Object-Detectors"<Distilling-Object-Detectors@noreply.github.com>;
Cc: "Author"<author@noreply.github.com>;"疯狂三角肌"<517332051@qq.com>;
Subject: Re: [twangnh/Distilling-Object-Detectors] SSD (#2)
the resnet50-h is obtained with halving each layer's channel number of resnet50
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roialign is used in the experiments |
I have seen your project on github, it is interesting that roialign and roipooling have so large difference on distillation results, do you have any update for the issue? |
你可以用gluoncv去做下实验,差别很大。
…---Original---
From: "twang"<notifications@github.com>
Date: Tue, Jun 25, 2019 12:49 PM
To: "twangnh/Distilling-Object-Detectors"<Distilling-Object-Detectors@noreply.github.com>;
Cc: "Author"<author@noreply.github.com>;"疯狂三角肌"<517332051@qq.com>;
Subject: Re: [twangnh/Distilling-Object-Detectors] SSD (#2)
I have seen your project on github, it is interesting that roialign and roipooling have so large difference on distillation results, do you have any update for the issue?
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我想问一下您复现的Fine Grained feature imitation实验中roi Align和roi pooling效果会差多少?论文中roi Align提升约2.9%,那么如果是roi pooling大约提升多少呢? |
看他github的
…---Original---
From: "DliHjiang"<notifications@github.com>
Date: Wed, Mar 18, 2020 14:51 PM
To: "twangnh/Distilling-Object-Detectors"<Distilling-Object-Detectors@noreply.github.com>;
Cc: "Author"<author@noreply.github.com>;"疯狂三角肌"<517332051@qq.com>;
Subject: Re: [twangnh/Distilling-Object-Detectors] SSD (#2)
你可以用gluoncv去做下实验,差别很大。
…
我想问一下您复现的Fine Grained feature imitation实验中roi Align和roi pooling效果会差多少?论文中roi Align提升约2.9%,那么如果是roi pooling大约提升多少呢?
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哪里可以看到数据对比呢,我看您的GAN-KD论文里也没有Fine Grained feature imitation方法的roi align和roi pooling的对比,我最近尝试了带fpn的faster rcnn应用Fine Grained feature imitation方法,用的roi pooling,但是发现蒸馏后的结果比学生的基线还低,所以比较困惑,请问您那边实验的结果是什么样的呢?roi pooling会有提升吗? |
您好,请问有SSD的提升效果的表格吗
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