Comments (1)
Thanks for your interest. Now I have updated the codes. I will close this, but feel free to reopen if you have more questions.
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Related Issues (20)
- 关于特征可视化的代码 HOT 1
- Extremely slow validation during training + cpu overload HOT 2
- The L2 normalization of features HOT 2
- T-SNE of features visualization HOT 1
- loss_contrast HOT 2
- maybe bug in ./segmentor/trainer_contrastive.py HOT 5
- how to reproduce the HRNet result trained on cityscapes trainval
- Momentum Update HOT 2
- How to reproduce the SoTA result of Cityscapes? HOT 1
- Semi-Hard Example Sampling implementation HOT 3
- code confusing me in def._sample_negative HOT 4
- Example for max_views, max_samples? HOT 2
- problem with resuming training from checkpoint
- loss_contrast与loss_contrast_mem两个版本中的PixelContrastLoss区别
- About the dimension of feature embedding HOT 1
- Code bug HOT 1
- @tfzhou So, the class 0 is the ignore index and not the background class? I mean, for the background class is applied also the contrastive loss. Right? HOT 4
- Dataloader distributed or not
- Running the t code shows loss=nan when calculating the coco dataset. HOT 4
- CKPT
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