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Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

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run code/demoPreproc_gen_png_label.m 运行该命令,无法得到处理的边缘图,我是在windows下运行的,请问有方法解决吗?

Since the input of your loss function is the network output without sigmoid function, I find it difficult to understand your code. What are 'max val' and 'log weight' here?...

Hi there thanks for your Research, its a real Gold Mine, I just have a couple questions: https://github.com/Lavender105/DFF/blob/152397cec4a3dac2aa86e92a65cc27e6c8016ab9/exps/models/casenet.py **Firstly**, In the CaseNet paper up sampling is used for Side 1,...

It's a nice work! Will you release the pretrained model? thanks

I can't get the performance of SBD dataset in the papper with single GPU, with the code 'python train.py --dataset sbd --model dff --backbone resnet101 --checkname dff --base-size 352 --crop-size...

Thanks for sharing your work, could give me some advice to manipulate the parameters to get the performance of the paper?

> RuntimeError: Error(s) in loading state_dict for DFF: Missing key(s) in state_dict: "ada_learner.conv1.0.weight", "ada_learner.conv1.0.bias", "ada_learner.conv1.1.weight", "ada_learner.conv1.1.bias", "ada_learner.conv1.1.running_mean", "ada_learner.conv1.1.running_var", "ada_learner.conv2.0.weight", "ada_learner.conv2.0.bias", "ada_learner.conv2.1.weight", "ada_learner.conv2.1.bias", "ada_learner.conv2.1.running_mean", "ada_learner.conv2.1.running_var", "ada_learner.conv3.0.weight", "ada_learner.conv3.0.bias", "ada_learner.conv3.1.weight", "ada_learner.conv3.1.bias", "ada_learner.conv3.1.running_mean", "ada_learner.conv3.1.running_var",...