Update README.md
Browse files
README.md
CHANGED
|
@@ -22,7 +22,7 @@ base_model:
|
|
| 22 |
|
| 23 |
CLOSP (Contrastive Language Optical SAR Pretraining) is a multimodal architecture designed for text-to-image retrieval.
|
| 24 |
It creates a unified embedding space for text, Sentinel-2 (MSI), Sentinel-1 (SAR), and location data.
|
| 25 |
-
The GeoCLOSP-RN variant uses a ResNet-50 vision backbone.
|
| 26 |
|
| 27 |
## Model Details
|
| 28 |
The model uses four separate encoders: one for text, one for Sentinel-1 (SAR) data, one for Sentinel-2 (MSI), and one for location data.
|
|
|
|
| 22 |
|
| 23 |
CLOSP (Contrastive Language Optical SAR Pretraining) is a multimodal architecture designed for text-to-image retrieval.
|
| 24 |
It creates a unified embedding space for text, Sentinel-2 (MSI), Sentinel-1 (SAR), and location data.
|
| 25 |
+
The GeoCLOSP-RN variant uses a ResNet-50 vision backbone and SatCLIP location encoder.
|
| 26 |
|
| 27 |
## Model Details
|
| 28 |
The model uses four separate encoders: one for text, one for Sentinel-1 (SAR) data, one for Sentinel-2 (MSI), and one for location data.
|