Comments (4)
zhengyang-wang
commented on July 23, 2024
1
For PASCAL, msc obtained mIoU 76.1 (76.35 in the paper).
from deeplab-v2--resnet-101--tensorflow.
zhengyang-wang
commented on July 23, 2024
I believe the folders will be created by my code if they do not exist.
from deeplab-v2--resnet-101--tensorflow.
John1231983
commented on July 23, 2024
Could you update the performance that you achieve when run the msc code?
from deeplab-v2--resnet-101--tensorflow.
John1231983
commented on July 23, 2024
Thanks. I got it. I just want to ask you a personal question. Do you have any schedule to extend the project to deeplab v3. I think you have a good program skill and write the code very clear, logic. Hope you can spend time to develop the state-of-the-art deeplab v3. Good job!
from deeplab-v2--resnet-101--tensorflow.
Related Issues (20)
- Optimizer choice: Adam VS SGD HOT 1
- Another dataset HOT 4
- Problem with pre-trained model HOT 1
- Results for VOC2012 are not correct HOT 3
- Training Cityscapes - Changes in label_utils.py HOT 1
- pretrain model download
- How to process the outline of the object in Segmentation label images? HOT 1
- The problem about paper "Smoothed Dilated Convolutions for Improved Dense Prediction". HOT 1
- Which part of your code corresponds to the CRF in Deeplab V2? HOT 1
- How to predict dynamically from graph HOT 1
- A question about paper "Smoothed Dilated Convolutions for Improved Dense Prediction" HOT 2
- NotFoundError (see above for traceback): Tensor name HOT 3
- only can train 2images HOT 1
- Can I input 6 channel images for training? HOT 2
- how about results(mIoU) on validation set and test set HOT 2
- Hi, could you please implement it on cityscape? HOT 3
- how about the hyperparms of cityscape
- ABOUT BATCHSIZE WHEN TRAINING ON CITYSCAPES HOT 1
- It is OOM. Try reducing input_height and input_width. HOT 1
- resnet101 ------- miou 70.7% HOT 2
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