Update citation of Seq2Seq-NMS (opendr-eu#427)

* Update README.md * Update README.md * Update object-detection-2d-nms-seq2seq_nms.md * Update README.md * Update README.md * Update object-detection-2d-nms-seq2seq_nms.md * Update object-detection-2d-nms-seq2seq_nms.md * Update object-detection-2d-nms-seq2seq_nms.md * Update object-detection-2d-nms-seq2seq_nms.md * Update README.md --------- Co-authored-by: Stefania Pedrazzi <stefaniapedrazzi@users.noreply.github.com>
lucamarchionni · May 17, 2023 · 98dc5bc · 98dc5bc
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diff --git a/docs/reference/object-detection-2d-nms-seq2seq_nms.md b/docs/reference/object-detection-2d-nms-seq2seq_nms.md
@@ -302,4 +302,4 @@ TABLE-1: Average Precision (AP) achieved by pretrained models on the person dete
 
 
 #### References
-<a name="seq2seq_nms-1" href="https://www.techrxiv.org/articles/preprint/Neural_Attention-driven_Non-Maximum_Suppression_for_Person_Detection/16940275">[1]</a> Neural Attention-driven Non-Maximum Suppression for Person Detection, [TechRxiv](https://www.techrxiv.org/articles/preprint/Neural_Attention-driven_Non-Maximum_Suppression_for_Person_Detection/16940275).
+<a name="seq2seq_nms-1" href="https://ieeexplore.ieee.org/abstract/document/10107719">[1]</a>  C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis, "Neural Attention-Driven Non-Maximum Suppression for Person Detection" in IEEE Transactions on Image Processing, vol. 32, pp. 2454-2467, 2023, doi: 10.1109/TIP.2023.3268561.
diff --git a/src/opendr/perception/object_detection_2d/nms/seq2seq_nms/README.md b/src/opendr/perception/object_detection_2d/nms/seq2seq_nms/README.md
@@ -1,7 +1,9 @@
 Seq2Seq-NMS
 ======
 
-This folder contains an implementation of Seq2Seq-NMS [[1]](#seq2seq_nms-1).
+This folder contains an implementation of the Seq2Seq-NMS algorithm, for neural Non-Maximum Suppression in visual person detection. If one uses any part of this implementation in his/her work, he/she is kindly asked to cite the following paper:
+
+- C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis, "[Neural Attention-Driven Non-Maximum Suppression for Person Detection](https://ieeexplore.ieee.org/abstract/document/10107719)" in IEEE Transactions on Image Processing, vol. 32, pp. 2454-2467, 2023, doi: 10.1109/TIP.2023.3268561.
 
 TABLE-1: Average Precision (AP) achieved by pretrained models on the person detection task on the validation sets. The maximum number or RoIs, employed for the performance evaluation was set to 800.
 |  **Pretrained Model**  | **Dataset** | **Detector** | **Type of Appearance-based Features** | **Pre-processing IoU Threshold** | **AP@0.5 on validation set** | **AP@0.5 on test set** |
@@ -14,4 +16,3 @@ TABLE-1: Average Precision (AP) achieved by pretrained models on the person dete
 \* The minival set was used as validation set.<br>
 \*\* The minitest set was used as test set.
 
-<a name="seq2seq_nms-1" href="https://www.techrxiv.org/articles/preprint/Neural_Attention-driven_Non-Maximum_Suppression_for_Person_Detection/16940275">[1]</a> Neural Attention-driven Non-Maximum Suppression for Person Detection, [TechRxiv](https://www.techrxiv.org/articles/preprint/Neural_Attention-driven_Non-Maximum_Suppression_for_Person_Detection/16940275).
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Expand Up		@@ -302,4 +302,4 @@ TABLE-1: Average Precision (AP) achieved by pretrained models on the person dete


		#### References
		<a name="seq2seq_nms-1" href="https://www.techrxiv.org/articles/preprint/Neural_Attention-driven_Non-Maximum_Suppression_for_Person_Detection/16940275">[1]</a> Neural Attention-driven Non-Maximum Suppression for Person Detection, [TechRxiv](https://www.techrxiv.org/articles/preprint/Neural_Attention-driven_Non-Maximum_Suppression_for_Person_Detection/16940275).
		<a name="seq2seq_nms-1" href="https://ieeexplore.ieee.org/abstract/document/10107719">[1]</a> C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis, "Neural Attention-Driven Non-Maximum Suppression for Person Detection" in IEEE Transactions on Image Processing, vol. 32, pp. 2454-2467, 2023, doi: 10.1109/TIP.2023.3268561.