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mvrl · Oct 29, 2023 · 91586df · 91586df
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diff --git a/README.md b/README.md
@@ -78,8 +78,13 @@ Download pretrained models from the given links below:
 ```bibtex
 @inproceedings{sastry2024birdsat,
   title={BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping},
-  author={Srikumar, Sastry and Subash, Khanal and Huang, Di and Aayush, Dhakal and Nathan, Jacobs},
+  author={Srikumar, Sastry and Subash, Khanal and Aayush, Dhakal and Huang, Di and Nathan, Jacobs},
   booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
   year={2024}
 }
-```
+```
+
+## 🔍 Additional Links
+Check out our lab website for other interesting works on geospatial understanding and mapping;
+* Multi-Modal Vision Research Lab (MVRL) - [Link](https://mvrl.cse.wustl.edu/)
+* Related Works from MVRL - [Link](https://mvrl.cse.wustl.edu/publications/)
diff --git a/retrieval_eval.py b/retrieval_eval.py
@@ -38,7 +38,7 @@ def retrieval_eval():
         model_filter.eval()
         model_filter = model_filter.cuda()
         model = CVEMAEMeta.load_from_checkpoint(
-            cfg.retrieval.cve_ckpt,
+            cfg.retrieval.ckpt,
             train_dataset=None,
             val_dataset=test_dataset,
         )