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Efficient Transformer-Based Compressed Video Modeling via Informative Patch Selection
Recently, Transformer-based video recognition models have achieved state-of-the-art results on major video recognition benchmarks. However, their high inference cost significantly limits research speed and practical use. In video compression, methods considering small motions and residuals that are...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823838/ https://www.ncbi.nlm.nih.gov/pubmed/36616842 http://dx.doi.org/10.3390/s23010244 |