Video-based scoring using neural networks is a very important means for evaluating many sports, especially figure skating. Although methods action quality have been proposed, there no uniform conclusion on the best feature extractor and clip length existing methods. Furthermore, during aggregation stage, these cannot accurately locate target information. To address tasks, firstly, we systematic...

Abstract In the study of human action recognition, two-stream networks have made excellent progress recently. However, there remain challenges in distinguishing similar actions videos. This paper proposes a novel local-aware spatio-temporal attention network with multi-stage feature fusion based on compact bilinear pooling for recognition. To elaborate, taking as our essential backbones, spatia...