Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating

arXiv:2307.02730v3 Announce Type: replace
Abstract: The fine-grained action analysis of the existing action datasets is challenged by insufficient action categories, low fine granularities, limited modalities, and tasks. In this paper, we propose a Multi-modality and Multi-task dataset of Figure Skating (MMFS) which was collected from the World Figure Skating Championships. MMFS, which possesses action recognition and action quality assessment, captures RGB, skeleton, and is collected the score of actions from 11671 clips with 256 categories including spatial and temporal labels. …

abstract analysis arxiv cs.ai cs.cv dataset datasets figure fine-grained low paper tasks type world