Comments (4)
I just find it from the answer of @howard-mahe thank you very much!!!
It's a bit hidden in the README.md
ILSVRC
Model A: https://cloudstor.aarnet.edu.au/plus/index.php/s/V7dncO4H0ijzeRj
Model A1: https://cloudstor.aarnet.edu.au/plus/index.php/s/NOPhJ247fhVDnZH
Pascal VOC12
Model A1, 2 conv.: https://cloudstor.aarnet.edu.au/plus/index.php/s/YqNptRcboMD44Kd
Model A1, 2 conv. (COCO): https://cloudstor.aarnet.edu.au/plus/index.php/s/JKWePbLPlpfRDW4
Cityscapes
Model A1, 2 conv.: https://cloudstor.aarnet.edu.au/plus/index.php/s/2hbvpro6J4XKVIu
MIT Scene Parsing Benchmark (ADE20K)
Model A1, 2 conv.: https://cloudstor.aarnet.edu.au/plus/index.php/s/E4JeZpmssK50kpn**
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you can find the link in readmne
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When I look at the README.md file, it presumes that the models exist in admxapp/models. All I see is a file called checksum.md with a list of pretrained nets. I don't see a URL to down load them.
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did you find the pre-trained model? I also wanna get the ade20k pre-trained one.
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Related Issues (20)
- Errors in full image test on cityscapes val dataset HOT 2
- Scale rates of multiscale test in cityscapes HOT 2
- How to run the semantic segmentation on my own images? HOT 11
- Simple_bind error HOT 3
- Pretrained models for cityscape needed HOT 3
- Training command required to train semantic segmentation on cityscape dataset...
- How can I train a model with 2 classes?
- Training script for semantic segmentation VOC2012 HOT 1
- how to get coco20 png annotations
- Only got 76.90% over Pascal VOC2012 val set HOT 5
- What's the difference of the model a2 and a
- Experimental setting for training ADE20K?
- MxNet, Python, CUDA, CUDNN versions HOT 2
- multi-steps testing~
- The parameter for training VOC 2012 dataset
- pre-trained model in ade20k HOT 1
- Training on VOC from Scratch HOT 2
- the predicted image is all black using trained model on VOC
- pre-training files for resnet38? HOT 1
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