TemPose: a new skeleton-based transformer model designed for fine-grained motion recognition in badminton

Author:

Ibh Magnus1,Grasshof Stella1,Witzner Dan1,Madeleine Pascal2

Affiliation:

1. IT University of Copenhagen,Machine Learning Group

2. Aalborg Univeristy

Funder

Novo Nordisk

Publisher

IEEE

Reference42 articles.

1. Towards Structured Analysis of Broadcast Badminton Videos

2. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition;wang;European Conference on Computer Vision,2016

3. Multiscale Vision Transformers

4. TrackNetV2: Efficient Shuttlecock Tracking Network

5. Gaussian error linear units (gelus);hendrycks,2016

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