baseline results for Piemonte

ainazHjm / LandslidePrediction

Classification task for predicting landslides based on GIS maps using locally aligned convolutional neural networks. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.

https://creativecommons.org/licenses/by-nc-sa/3.0/

35 stars 11 forks source link

baseline results for Piemonte #11

Open ainazHjm opened 5 years ago

ainazHjm commented 5 years ago

[x] try logistic regression
[x] try NN if possible
[x] try simple FCN
[ ] try UNET pretrained
[ ] train UNET from scratch

ainazHjm commented 5 years ago

I tried the model without the rotation part and without using any weights for positive samples (i). The loss function is decreasing nicely but I guess the output will be zeros every where because the ratio of the positive samples are ~0.001. I'm going to train another model with weights and see how well that would do. I also need to train another model with oversampling of positive images and more data (stride < 200). Here is the loss function for (i):