desc update

app.py

@@ -160,10 +160,10 @@ dsfd_radio = gr.Radio(["On", "Off"], value="On", label="DSFD")
 description = """This space let's you compare different face detection algorithms, based on Convolutional Neural Networks (CNNs).
 
 The models used here are:
-* Kornia YuNet:
-* RetinaFace:
-* RetinaMobileNet:
-* DSFD:
+* Kornia YuNet: High Speed. Using the [Kornia Face Detection](https://kornia.readthedocs.io/en/latest/applications/face_detection.html) implementation
+* RetinaFace: High Accuracy. Using the [RetinaFace](https://arxiv.org/pdf/1905.00641.pdf) implementation with ResNet50 backbone from the [face-detection library](https://github.com/hukkelas/DSFD-Pytorch-Inference)
+* RetinaMobileNet: Mid Speed, Mid Accuracy. RetinaFace with a MobileNetV1 backbone, also from the [face-detection library](https://github.com/hukkelas/DSFD-Pytorch-Inference)
+* DSFD: High Accuracy. [Dual Shot Face Detector](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_DSFD_Dual_Shot_Face_Detector_CVPR_2019_paper.pdf) from the [face-detection library](https://github.com/hukkelas/DSFD-Pytorch-Inference) as well.
 """
 
 compare_iface = gr.Interface(