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This repo is the tensorflow implementation of Discriminative Feature Network (DFN)

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Why focal_loss and mean_iou are always zero when the training progress is going on? I didn't change the model, I used pascalvoc2012 for training

Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.2.0 to 1.15.2. Release notes *Sourced from [tensorflow-gpu's releases](https://github.com/tensorflow/tensorflow/releases).* > ## TensorFlow 1.15.2 > # Release 1.15.2 > > ## Bug Fixes and Other Changes > *...

dependencies

I have a issue about how to use the supervisory signal. The paper said "The supervisory signal of the network is obtained from the semantic segmentation’s groundtruth with a traditional...

Hi`~,thanks for sharing the code for this project ,but u said that only the problem of binary segmentation can be solved,where can I find binary segmentation dataset, I searched for...

In file utils , I found the function get_batch_of__trainval() uses random.sample to get batch_list in line 65, but random.sample is a pseudorandom function. I think it may influence the final...

Hi. Thanks for the awesome work. The paper is really great and it makes so much sense. Is it possible to get the trained weight files for the binary segmentation...

1. I was able to train a model on the kitti dataset from your code but while testing i got a name error: Category not defined. When i checked with...

Hi, thanks for your great work. Why don't you load ImageNet pretrained ResNet101 model parameters in the code?