Enhanced video segmentation with on device learning
Автор: Qualcomm Research
Загружено: 2023-12-06
Просмотров: 705
The past years have seen a surge in mobile video calls and live streaming. When users join video calls they want to be able to change their virtual backgrounds easily, and for those backgrounds to be robust to movements, artefacts and glitches. For this, good video segmentation is crucial. ODL is possible when the model is adapted to the target environment by training on additional user data. In this NeurIPS 2023 demo, we show a video segmentation use case, which runs efficiently and works well on any new target environment. The ODL model provides improved segmentation with a virtual background, both qualitatively and quantitatively.
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