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Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

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The DeepLab implementation seems to have a long-lasting unobserved issue in Classifier_Module: in [line 116](https://github.com/hfslyc/AdvSemiSeg/blob/841d546c927605747594be726622363bf781cefb/model/deeplab.py#L116) the out variable is returned in the first iteration of the loop. So it only...

When loading model parameters during training, the program has been stuck without response ![2021-06-26 10-22-32屏幕截图](https://user-images.githubusercontent.com/50078401/123499396-ffb61d00-d668-11eb-813f-09782c4addce.png)

Thank you for sharing your implementation. I would like to fix the ASPP part. This change makes Classifier_Module to use all of the four dilated convolutions properly. In [speedinghzl/Pytorch-Deeplab](https://github.com/speedinghzl/Pytorch-Deeplab), which...

TypeError: 'range' object does not support item assignment (while run train.py).

In "read me", you commented that the mean IOU should be around 68.8% for the pre-trained model for 0.125 set (adv+ semi). However, in the paper the result is 69.5%...

why all my losses in experiment are NaN? I used the same code, parameters and dataset. like this "iter = 19998/20000, loss_seg = nan, loss_adv_p = nan, loss_D = nan,...

File "D:\workspace\AdvSemiSeg\dataset\voc_dataset.py", line 56, in __getitem__ img_h, img_w = label.shape AttributeError: 'NoneType' object has no attribute 'shape' Can you help me? I tried some ways,but it still has errors.Thank you!

Hi authors, In line 74 of voc_dataset.py, you use`image = image[:, :, ::-1]` to convert images from BGR to RGB, but in line 192 (TestSet), you don't convert the images...