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DQSD(TIP 2020)<br>

DQSD:Depth Quality Aware Salient Object Detection(Under review)<br> The network structure is as follows:

Requirment


Preparation<br>

1.Clone code by clone git https://github.com/qdu1995/DQSD.git<br> 2.Download the official pre training weight Resnet or download initial model link(jsf8)<br> 3.Download rgb-d dataset datasets in the folder of data for training or test.

for train:

1.Put the train dataset into the train folder.<br> 2.Put the pretrained model into the 'model' folder.<br> 3.python train.py<br> datalink(cdky)

for test:

1.Download testing data, put the test dataset into the test folder<br> 2.Download pretrained model link(0vo7), put the model into the 'model' folder<br> 3.python demo.py<br>

Result:

data link(j4iz)

Evalution:

Download the evaluation indicators link(vhfc).Thanks for the authors (http://dpfan.net/)

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