Real Time Landmark Detection for Within- and Cross Subject Tracking With Minimal Human Supervision
Author:
Affiliation:
1. Department of Radiology, Medical Image and Data Analysis (MIDAS.lab), University Hospital Tübingen, Tübingen, Germany
2. Department of Computer Science, Institute for Visual Computing, University of Tübingen, Tübingen, Germany
Funder
Deutsche Forschungsgemeinschaft (DFG) through German Research Foundation
Germany’s Excellence Strategy–EXC-2064/1
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09845397.pdf?arnumber=9845397
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4. Space-time correspondence as a contrastive random walk;jabri;Proc Adv Neural Inf Process Syst,2020
5. Facial landmark detection by semi-supervised deep learning
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