Explainable action prediction through self-supervision on scene graphs
This work explores scene graphs as a distilled representation of high-level information for autonomous driving, applied to future driver-action prediction. Given the scarcity and strong imbalance of data samples, we propose a selfsupervision pipeline to infer representative and well-separated embedd...
| Главные авторы: | , , , |
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| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
IEEE
2023
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