backseason / PoolNet

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"
MIT License
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about composite images #75

Closed ljc19940403 closed 3 years ago

ljc19940403 commented 3 years ago

When I was learning about Salient Object Detection,I used composite images to augment the training set: C= F × α + B × (1 − α)
C:composite image F: foreground image B: background image α values the image mask. After the completion of training, the final effect does not reach the expectation, and some results often appear low gray value of the shadow.Regarding this phenomenon, do you have any suggestions for setting alpha or image mask. Looking forward to your reply

backseason commented 3 years ago

I can not give you much useful suggestions as I have not tried this kind of data augmentation in SOD. But you may refer to the image matting papers.

kobe notifications@github.com 于2021年1月27日周三 下午6:02写道:

When I was learning about Salient Object Detection,I used composite images to augment the training set: C= F × α + B × (1 − α i ) C:composite image F: foreground image B: background image α values the image mask. After the completion of training, the final effect does not reach the expectation, and some results often appear low gray value of the shadow.Regarding this phenomenon, do you have any suggestions for setting alpha or image mask. Looking forward to your reply

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From BackSeason-刘姜江 Major in Computer Science and Technology Nankai University, Tianjin,300350 P.R.China J04.liu@gmail.com j04.liu@gmail.com