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Specificity-preserving RGB-D Saliency Detection
直接运行代码,CIM在最后cat的时候通道数不一致会报错,一个是64,一个是128 @taozh2017
@taozh2017 Thanks for your code.
I find the performance of SPNet is relatively poor when evaluated on LFSD.
i am not sure whether the evalutaion results is correct or not. Have you evaluted the model on LFSD?
Have you evaluted the model on DUT-RGBD? I have used the code test_performance_maps.py and the model 'SPNet_best.pth' you provided to predicet the salient maps. However, the results is different from you gived in the paper, including the NJUD. Is there anything wrong?
I hope for your reply! Thanks!
have you tried building SPNet based on ResNet-50? How much performance improvement does the Res2Net-50 bring?
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