Update README.md

README.md

@@ -25,6 +25,27 @@ This model card is mostly the same for all similar models uploaded to Hugging Fa
 
 This repository is for `tcd-segformer-mit-b5`
 
+## Citation and contact
+
+**BibTeX:**
+
+This paper was accepted into NeurIPS 2024 under the Datasets and Benchmarks track.
+
+The citation will be updated once the final version is confirmed and the proceedings are online.
+
+```latex
+@inproceedings{restortcd,
+	author = {Veitch-Michaelis, Josh and Cottam, Andrew and Schweizer, Daniella Schweizer and Broadbent, Eben N. and Dao, David and Zhang, Ce and Almeyda Zambrano, Angelica and Max, Simeon}
+    title  = {OAM-TCD: A globally diverse dataset of high-resolution tree cover maps},
+	booktitle = {Advances in Neural Information Processing Systems},
+	pages = {1--12},
+	publisher = {Curran Associates, Inc.},
+	volume = {37},
+	year = {2024}
+```
+
+Please contact josh [at] restor.eco for questions or further information.
+
 ## Model Details
 
 ### Model Description
@@ -166,25 +187,5 @@ This estimate does not take into account time require for experimentation, faile
 
 Efficient inference on CPU is possible for field work, at the expense of inference latency. A typical single-battery drone flight can be processed in minutes.
 
-## Citation
-
-We will provide a preprint version of our paper shortly. In the mean time, please cite as:
-
-**BibTeX:**
-
-```latex
-@unpublished{restortcd,
-  author = "Veitch-Michaelis, Josh and Cottam, Andrew and Schweizer, Daniella Schweizer and Broadbent, Eben N. and Dao, David and Zhang, Ce and Almeyda Zambrano, Angelica and Max, Simeon",
-  title  = "OAM-TCD: A globally diverse dataset of high-resolution tree cover maps",
-  note   = "In prep.",
-  month  = "06",
-  year   = "2024"
-}
-```
-
 ## Model Card Authors
-Josh Veitch-Michaelis, 2024; on behalf of the dataset authors.
-
-## Model Card Contact
-
-Please contact josh [at] restor.eco for questions or further information.
+Josh Veitch-Michaelis, 2024; on behalf of the dataset authors.