Published September 30, 2023
| Version v1
Dataset
Open
Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity
Description
Here we provide neural networks weights for the best models in our article "Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity", ICCV 2023. Each model has the naming convention "dataset"-"modeltype".pth
The code to load and use the models is available at: https://github.com/amathislab/BUCTD
Link to the article: https://openaccess.thecvf.com/content/ICCV2023/papers/Zhou_Rethinking_Pose_Estimation_in_Crowds_Overcoming_the_Detection_Information_Bottleneck_ICCV_2023_paper.pdf
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