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
We also provide
Files
Files
(974.2 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:17b6323cae57357a1d34214d9f85532a
|
255.4 MB | Download |
|
md5:69eb90875a6075d7881a72f413e2b44b
|
463.5 MB | Download |
|
md5:17b6323cae57357a1d34214d9f85532a
|
255.4 MB | Download |