Comments (1)
Hello, I have the same question, the deeplab projection head does not have an upsampling operation, and only the labels are dimensionally matched when the comparison loss is calculated, but the prediction graph is not?
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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
- 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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