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| Published in: | IET Computer Vision |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
| Tags: |
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| _version_ | 1864030189969735680 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | IET Computer Vision |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:26076 |
| institution | FRELIP |
| journal_source_facet | IET Computer Vision |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | TaiChi‐AQA: A Dataset and Framework for Action Quality Assessment and Visual Analysis Image and Video Processing Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Image and Video Processing Technology & Engineering — Computing Technology & Engineering Image and Video Processing Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Image and Video Processing Technology & Engineering — Computing Technology & Engineering |
| title | TaiChi‐AQA: A Dataset and Framework for Action Quality Assessment and Visual Analysis |
| title_auth | TaiChi‐AQA: A Dataset and Framework for Action Quality Assessment and Visual Analysis |
| title_full | TaiChi‐AQA: A Dataset and Framework for Action Quality Assessment and Visual Analysis |
| title_fullStr | TaiChi‐AQA: A Dataset and Framework for Action Quality Assessment and Visual Analysis |
| title_full_unstemmed | TaiChi‐AQA: A Dataset and Framework for Action Quality Assessment and Visual Analysis |
| title_short | TaiChi‐AQA: A Dataset and Framework for Action Quality Assessment and Visual Analysis |
| title_sort | taichi‐aqa: a dataset and framework for action quality assessment and visual analysis |
| topic | Image and Video Processing Technology & Engineering — Computing Technology & Engineering |
| url | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cvi2.70053?af=R |