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Describe the new API function requested
Garnot and Landrieu (2021) proposed an end-to-end, single-stage method for panoptic segmentation of satellite image time series for agricultural applications. The method uses the idea of temporal self-attention and combines it with semantic segmentation. The proposal should be analysed and explored to be possibly included in the sits package.
Associated sits API function sits_segment
Additional context https://github.com/VSainteuf/utae-paps - code in pytorch that implements the paper "Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks"
The text was updated successfully, but these errors were encountered:
Describe the new API function requested
Garnot and Landrieu (2021) proposed an end-to-end, single-stage method for panoptic segmentation of satellite image time series for agricultural applications. The method uses the idea of temporal self-attention and combines it with semantic segmentation. The proposal should be analysed and explored to be possibly included in the
sits
package.Associated sits API function
sits_segment
Additional context
https://github.com/VSainteuf/utae-paps - code in pytorch that implements the paper "Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks"
The text was updated successfully, but these errors were encountered: