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Hello
After checking the code I still can not find the difference between the unet model with and without geo-aware. They are both based on the CoreUnet model so I see no difference on the model structures.
Can you explain what is the main difference between these two?
The text was updated successfully, but these errors were encountered:
Hi,
The model architecture is indeed the same. The only difference is initial initialization weights.
CoreUnet has randomly initialized weights while the geo-aware model has pre-trained encoder weights (a multi-head classifier pre-training approach was used to predict the co-oridinates, capture time & majority kg class of S2 patches)
Hi, The model architecture is indeed the same. The only difference is initial initialization weights. CoreUnet has randomly initialized weights while the geo-aware model has pre-trained encoder weights (a multi-head classifier pre-training approach was used to predict the co-oridinates, capture time & majority kg class of S2 patches)
Hello
After checking the code I still can not find the difference between the unet model with and without geo-aware. They are both based on the CoreUnet model so I see no difference on the model structures.
Can you explain what is the main difference between these two?
The text was updated successfully, but these errors were encountered: