kekmodel/FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
PythonMIT
Issues
- 0
训练的准确率一直是10%,显然是没有作用的因为一共就只有10个类别
#54 opened by hanyiwei799 - 5
train failed when EMA mode is off
#42 opened by frozenzo - 0
每次加载训练好的模型,结果都不一样
#53 opened by onlinehuazai - 0
RuntimeError: "nll_loss_forward_reduce_cuda_kernel_2d_index" not implemented for 'Int'
#52 opened by wxqyyds - 1
Using fixmatch to train on my dataset, LR = 0.03, batchsize = 64. When the unlabeled loss increases gradually, the model gets worse and worse, and the loss of training set will decrease, but the loss of verification set will increase, and the accuracy will decrease?
#23 opened by a571-op - 3
why add a interleave before the input?
#50 opened by williamium3000 - 2
Why the result with this implementation is better than reported one in the original paper?
#25 opened by sooonwoo - 0
- 2
total numer of iterations
#35 opened by holzbock - 9
num_labeled in DistributedDataParallel
#5 opened by LiheYoung - 0
Can't reproduce the result with single GPU
#49 opened by moucheng2017 - 3
When fix patch is applied to my dataset, the dataset is unbalanced. Why does the training set perform well, but the loss of verification set first decreases and then keeps rising?
#24 opened by a571-op - 2
Training time without distributed training?
#45 opened by 07Agarg - 1
- 0
- 3
The RandAugment Implementation Is Wrong
#39 opened by psellcam - 0
Performance not reproduced
#38 opened by Hyun1A - 0
FixMatch for Multi-class Classification
#47 opened by GuoJingtao-1997 - 1
Invalid syntax in train.py
#37 opened by mdziezyc - 3
RandAugment Implementation
#33 opened by psellcam - 0
- 3
Have you tried SVHN dataset?
#30 opened by fiona-lxd - 1
No Validation Set
#43 opened by 07Agarg - 1
v divided by 2 problem in Cutout
#44 opened by Fordacre - 3
Purpose of Interleave
#36 opened by feras-oughali - 5
Lack of seed during random labeled image selection may be leading to better performance on training resumption
#41 opened by dsouzinator - 5
- 1
Wrong use of AverageMeter
#40 opened by huberl - 1
set_epoch with DistributedSampler
#34 opened by TonyLianLong - 7
- 2
Accuracy lower than reported
#27 opened by fil-mp - 2
- 2
RuntimeError after 1 epoch
#26 opened by valeriydutt - 0
- 4
BatchNorm has a biased estimation
#7 opened by YUE-FAN - 2
Any plans to add CTAugment?
#12 opened by monkeysforever - 2
- 1
- 4
What does the function `interleave` do?
#19 opened by charlesCXK - 1
- 1
Accuracy curves
#14 opened by bkj - 1
Unsupervised loss part for one single class
#11 opened by dendrobiumz - 15
- 1
PyTorch Distributed Training
#16 opened by ZhuoranYu - 1
unlabeled data contain the labeled data?
#18 opened by yaojunr - 6
All labeled examples are as part of unlabeled data without using their labels?
#10 opened by Chen-Song - 1
custom dataset
#17 opened by KirillHiddleston - 0
- 2
Weight decay in EMA?
#15 opened by bkj - 2
cos learing rate
#6 opened by YUE-FAN