Details for entry MSRA

Short Name:
MSRA
Long Name:
Simple Baseline for Human Pose Estimation and Tracking
Use MPII Pose for training:
no
Use COCO for training:
yes
Use external training:
yes
Use multiple frames for pose estimation:
yes
Predict pose tracks:
yes
URL:
https://github.com/leoxiaobin/pose.pytorch
Description:
There has been significant progress on pose estimation and increasing interests on pose tracking in recent years. At the same time, the overall algorithm and system complexity increases as well, making the algorithm analysis and evaluation more difficult. This work provides baseline methods that are surprisingly simple and effective, thus helpful for inspiring and evaluating new ideas for the field. State-of-the-art results are achieved on challenging benchmarks.
Bibtex:
@inproceedings{xiao2018simple, author={Xiao, Bin and Wu, Haiping and Wei, Yichen}, title={Simple Baselines for Human Pose Estimation and Tracking}, booktitle = {European Conference on Computer Vision (ECCV)}, year = {2018} }
Specs:
P100
Runtime:
3600
Open Source:
yes
Number of submissions:
2
Last Submission:
2018-08-31 06:57:01
Published:
2018-08-31 08:28:52

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