Comments (5)
Hello, @pigcv again!
I will provide the training code & dataset for COCO soon!
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Hello, @pigcv again!
I will provide the training code & dataset for COCO soon!
Thanks for you reply. Another question is that why deeplab v1 performs better than deeplab v2? Which Deeplab V1 repo are you using? Thanks again!
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We basically use the network in here.
But it only provides DeepLab-V2. Since the backbone networks are the same between DeepLabV1 & V2, we manually make DeepLabV1 from DeepLabV2. We use the same pre-trained model!
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Hello, @pigcv
I uploaded the training data for MS-COCO 2014 (segmentation mask for train/validation set) and the training code.
You can check them with new script files.
Also, I updated the checkpoints, training logs, performances for each method and each dataset.
Please see README.md!
from eps.
Hello, @pigcv
I uploaded the training data for MS-COCO 2014 (segmentation mask for train/validation set) and the training code.
You can check them with new script files.Also, I updated the checkpoints, training logs, performances for each method and each dataset.
Please see README.md!
Thanks very much!
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Related Issues (14)
- Where is the codeοΌπ HOT 1
- DeepLab setting HOT 3
- COCO segmentation code HOT 3
- Performance of VGG16 based Deeplab-v1 HOT 2
- Train EPS on other dataset. HOT 3
- About the color map of coco 2014 HOT 1
- The coco performance 37.15 is just the performance of the pseudo mask? HOT 1
- What is the novelty of your paper? HOT 8
- Deeplab-v2 pretrain model HOT 4
- hyper-parameters about CRF? HOT 2
- COCO training codes too. HOT 2
- COCO checkpoint HOT 1
- Regarding portnig the code to google colab HOT 1
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