Image Segmentation
PEFT
Safetensors
English
cloud
segmentation
remote-sensing
satellite
earth-observation
lora
Instructions to use uga-gaim/CLIPSeg-CloudSEN12Plus-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use uga-gaim/CLIPSeg-CloudSEN12Plus-LoRA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -114,13 +114,12 @@ Evaluated on the CloudSEN12+ test split. Per-class IoU:
|
|
| 114 |
## Citation
|
| 115 |
|
| 116 |
```bibtex
|
| 117 |
-
@
|
| 118 |
-
|
| 119 |
-
|
| 120 |
-
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
-
url={https://arxiv.org/abs/2604.08956},
|
| 125 |
}
|
| 126 |
```
|
|
|
|
| 114 |
## Citation
|
| 115 |
|
| 116 |
```bibtex
|
| 117 |
+
@InProceedings{Kethavath_2026_CVPR,
|
| 118 |
+
author = {Kethavath, Harshith and Hu, Weiming},
|
| 119 |
+
title = {Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift},
|
| 120 |
+
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
|
| 121 |
+
month = {June},
|
| 122 |
+
year = {2026},
|
| 123 |
+
pages = {7960-7969}
|
|
|
|
| 124 |
}
|
| 125 |
```
|