Fig. 1
From: Learning spatio-temporal context for basketball action pose estimation with a multi-stream network
Overview of our model. The model has three module: basketball action pose multi-dimensional data stream network module(BAP-MDSNM), feature fusion module for basketball action pose estimation(FFM) and staged stream training module(SST). FFM contains three strategies are early fusion, late fusion and hybrid fusion. SST consists of three training options: single-stream pre-training, freezing and fine-tuning, and co-optimization.
