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About the proposals feature cluster visualization #3
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You can use the code below to visualize the features.
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(1) Weight is the feature extract from the input of the classifier (1024-dimension). (I think it should be named feature) |
Are the perplexitys same for features learned with CPEloss and without CPEloss ? |
Yes. |
Got it. Thanks a lot! |
hello, where should this code be added? |
@chengyu0910 |
You can use the labels predicted by the model, as the model's predictions are relatively confident in test stage. |
Hi, I wanna know what preprocessing, such as normalization, on proposals featuer should be done to visualize them using t-SNE? And can you share the code for visualization of proposals feature cluster ?
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