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Comments (5)

shuaizzZ avatar shuaizzZ commented on June 19, 2024 1

@Mr-Da-Yang
if not fixbase:
reg = regularizer(model) # ow
loss += reg
if not fixbase and args.use_of and epoch >= args.of_start_epoch:

        penalty = of_penalty(outputs)  # of
        loss += penalty

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young169 avatar young169 commented on June 19, 2024

First of all thank you very much for your outstanding contribution!
In the paper, you have deployed O.M and O.F many times. I have been searching for a long time and have not found the deployment py file for deploying O.M and O.F. Can you give me some guidance?
best wishs

I think it's in the torchreid/models/resnet.py for example. there is a 'ShallowCAM' imported from 'torchreid.components.shallow_cam'.
And have you run the training as well as testing both successfully?

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Mr-Da-Yang avatar Mr-Da-Yang commented on June 19, 2024
  1. ShallowCAM is the attention module,O.M is a kind of regularization, which should appear in the process of network backpropagation, but it has not been found yet
  2. Currently not running this project

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Mr-Da-Yang avatar Mr-Da-Yang commented on June 19, 2024

@Mr-Da-Yang
if not fixbase:
reg = regularizer(model) # ow
loss += reg
if not fixbase and args.use_of and epoch >= args.of_start_epoch:

        penalty = of_penalty(outputs)  # of
        loss += penalty

Thank you very much!
I get it.

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shuaizzZ avatar shuaizzZ commented on June 19, 2024

@Mr-Da-Yang
方便交流一下吗,我也刚刚开始学习这篇文章,[email protected]

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