Details for entry ML_Lab

Short Name:
ML_Lab
Long Name:
Samsung R&D institute of China, Beijing , Machine Learning Lab
Use MPII Pose for training:
yes
Use COCO for training:
yes
Use external training:
no
Use multiple frames for pose estimation:
no
Predict pose tracks:
yes
URL:
Description:
Samsung R&D institute of China, Beijing. Members: Xiangyu Zhu, Yingying Jiang, Zhenbo Luo, and our intern Pingjun Li Extended abstract: Multi-Person Pose Estimation for PoseTrack with Enhanced Part Affinity Fields Paper ID: 2 Training data: COCO + Posetrack
Bibtex:
Specs:
P40
Runtime:
1.5
Open Source:
no
Number of submissions:
2
Last Submission:
2017-10-04 07:51:16
Published:
2017-10-09 10:55:20

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