An Efficient Framework for Few-shot Skeleton-based Temporal Action Segmentation

no code implementations • 20 Jul 2022 • Leiyang Xu, Qiang Wang, Xiaotian Lin, Lin Yuan

This study proposes an efficient framework for the few-shot skeleton-based TAS, including a data augmentation method and an improved model.

Action Segmentation Data Augmentation +2

Automatic dataset generation for specific object detection

no code implementations • 16 Jul 2022 • Xiaotian Lin, Leiyang Xu, Qiang Wang

In the past decade, object detection tasks are defined mostly by large public datasets.

Object object-detection +1

Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition

no code implementations • 30 Jun 2022 • Lin Yuan, Zhen He, Qiang Wang, Leiyang Xu, Xiang Ma

Human action recognition is a quite hugely investigated area where most remarkable action recognition networks usually use large-scale coarse-grained action datasets of daily human actions as inputs to state the superiority of their networks.

Action Recognition Temporal Action Localization +1