Mephisto405 Learning-Loss-for-Active-Learning issues

Mephisto405 / Learning-Loss-for-Active-Learning

Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

215 stars 50 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

module 'visdom' has no attribute 'Visdom'

#19 omid-ghozatlou opened 1 year ago
1
question about the backbone model

#18 lijiaoyang closed 2 years ago
2
question about un-official Resnet

#17 lijiaoyang closed 2 years ago
1
Why is the uncertainty negative ?

#16 Aman141 opened 2 years ago
0
How to reproduce the results?

#15 Lee-daeho opened 2 years ago
0
Question about experiment on CIFAR-100

#14 hashnut closed 3 years ago
3
Random sample of unlabled sample

#13 Lee-daeho closed 3 years ago
1
Which performance is better between confidence only and learning loss

#12 williamwfhuang opened 3 years ago
4
How do i get reproduced result graph

#11 jaesunghwang opened 3 years ago
1
question about your Reproduced Results

#10 Bardielz opened 3 years ago
3
Questions about the performance of the figure

#9 seominseok0429 closed 4 years ago
1
question about then loss function

#8 blue-xuhu opened 4 years ago
3
About the performance of active learning methods

#7 Kyle-YK-Yu closed 4 years ago
1
uncertainty argsort wrong order

#6 sumukhaithal6 closed 4 years ago
2
why not reinstantiate the network model in Active learning cycles?I am wondering that the way of your writing will make the model aware of the test set in advance?

#5 Jiawen-huang closed 4 years ago
3
Why you randomly sample 10000 unlabeled data points first?

#4 GWwangshuo closed 4 years ago
2
About object detection in this article

#3 yulei1234 closed 4 years ago
1
The test accuracy is not matched with your image.

#2 ghost closed 4 years ago
10
What is the "ground truth loss" in your reproduced image?

#1 ghost closed 4 years ago
1