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S3D: Stacking Segmental P3D for Action Quality Assessment | IEEE Conference Publication | IEEE Xplore

S3D: Stacking Segmental P3D for Action Quality Assessment


Abstract:

Action quality assessment is crucial in areas of sports, surgery and assembly line where action skills can be evaluated. In this paper, we propose the Segment-based P3D-f...Show More

Abstract:

Action quality assessment is crucial in areas of sports, surgery and assembly line where action skills can be evaluated. In this paper, we propose the Segment-based P3D-fused network S3D built-upon ED-TCN and push the performance on the UNLV-Dive dataset by a significant margin. We verify that segment-aware training performs better than full-video training which turns out to focus on the water spray. We show that temporal segmentation can be embedded with few efforts.
Date of Conference: 07-10 October 2018
Date Added to IEEE Xplore: 06 September 2018
ISBN Information:
Electronic ISSN: 2381-8549
Conference Location: Athens, Greece

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