FE-Adapter: adapting image-based emotion classifiers to videos
Utilizing large pre-trained models for specific tasks has yielded impressive results. However, fully finetuning these increasingly large models is becoming prohibitively resource-intensive. This has led to a focus on more parameterefficient transfer learning, primarily within the same modality. But...
| 主要な著者: | , , |
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| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
IEEE
2024
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