Update README.md

README.md

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 ---
 license: apache-2.0
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+tags:
+- computer_vision
+- pose_estimation
+- animal_pose_estimation
+- deeplabcut
+---
+
+# DeepLabCut - Model Backbones
+
+This repository contains backbone weights for [DeepLabCut](
+https://github.com/DeepLabCut/DeepLabCut) models [1]. These weights are downloaded
+automatically in DeepLabCut when a model architecture requiring them is used.
+
+## Backbone Architectures
+
+### CSPNeXt
+
+The CSPNeXt backbone was first introduced in _RTMDet: An Empirical Study of Designing 
+Real-Time Object Detectors_ [2], and then used in _RTMPose: Real-Time Multi-Person Pose
+Estimation based on MMPose_ [3]. These model weights are adapted from the [CSPNeXt 
+weights pre-trained on 7 public human pose estimation benchmarks](
+https://github.com/open-mmlab/mmpose/tree/main/projects/rtmpose#pretrained-models) 
+released with the RTMPose models. Available variants are `CSPNeXT-s`, `CSPNeXT-m`, and 
+`CSPNeXT-x`.
+
+## References
+
+1. Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, Taiga Abe, Venkatesh N. Murthy, 
+Mackenzie W. Mathis, Matthias Bethge. DeepLabCut: markerless pose estimation of 
+user-defined body parts with deep learning. In Nature Neuroscience, 21, 1281–1289
+(2018).
+2. Chengqi Lyu, Wenwei Zhang, Haian Huang, Yue Zhou, Yudong Wang, Yanyi Liu, Shilong
+Zhang, Kai Chen. RTMDet: An Empirical Study of Designing Real-Time Object Detectors. 
+ArXiv, abs/2212.07784, 2022.
+3. Tao Jiang, Peng Lu, Li Zhang, Ningsheng Ma, Rui Han, Chengqi Lyu, Yining Li, Kai 
+Chen. RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose. ArXiv, 
+abs/2303.07399, 2023.