
Pretrained models of our method **JointBDOE**

Title: *Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding*

Paper link: https://arxiv.org/abs/2210.15586

Code link: https://github.com/hnuzhy/JointBDOE

# Joint Multi-Person Body Detection and Orientation Estimation Task (trained on COCO-MEBOW)
* JointBDOE-S --> [coco_s_1024_e500_t010_w005_best.pt](./coco_s_1024_e500_t010_w005_best.pt)
* JointBDOE-M --> [coco_m_1024_e500_t010_w005_best.pt](./coco_m_1024_e500_t010_w005_best.pt)
* JointBDOE-L --> [coco_l_1024_e500_t010_w005_best.pt](./coco_l_1024_e500_t010_w005_best.pt)


{"license": "mit"}
arxiv:2210.15586 license:mit region:us
TAGS
#arxiv-2210.15586 #license-mit #region-us 


Pretrained models of our method JointBDOE

Title: *Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding*

Paper link: URL

Code link: URL

# Joint Multi-Person Body Detection and Orientation Estimation Task (trained on COCO-MEBOW)
* JointBDOE-S --> coco_s_1024_e500_t010_w005_best.pt
* JointBDOE-M --> coco_m_1024_e500_t010_w005_best.pt
* JointBDOE-L --> coco_l_1024_e500_t010_w005_best.pt


# Joint Multi-Person Body Detection and Orientation Estimation Task (trained on COCO-MEBOW)
* JointBDOE-S --> coco_s_1024_e500_t010_w005_best.pt
* JointBDOE-M --> coco_m_1024_e500_t010_w005_best.pt
* JointBDOE-L --> coco_l_1024_e500_t010_w005_best.pt
TAGS
#arxiv-2210.15586 #license-mit #region-us 
 # Joint Multi-Person Body Detection and Orientation Estimation Task (trained on COCO-MEBOW)
* JointBDOE-S --> coco_s_1024_e500_t010_w005_best.pt
* JointBDOE-M --> coco_m_1024_e500_t010_w005_best.pt
* JointBDOE-L --> coco_l_1024_e500_t010_w005_best.pt
TAGS
#arxiv-2210.15586 #license-mit #region-us 
# Joint Multi-Person Body Detection and Orientation Estimation Task (trained on COCO-MEBOW)
* JointBDOE-S --> coco_s_1024_e500_t010_w005_best.pt
* JointBDOE-M --> coco_m_1024_e500_t010_w005_best.pt
* JointBDOE-L --> coco_l_1024_e500_t010_w005_best.pt