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- W4320166075 abstract "We introduce a new synthetic data generator PSP-HDRI$+$ that proves to be a superior pre-training alternative to ImageNet and other large-scale synthetic data counterparts. We demonstrate that pre-training with our synthetic data will yield a more general model that performs better than alternatives even when tested on out-of-distribution (OOD) sets. Furthermore, using ablation studies guided by person keypoint estimation metrics with an off-the-shelf model architecture, we show how to manipulate our synthetic data generator to further improve model performance." @default.
- W4320166075 created "2023-02-13" @default.
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- W4320166075 date "2022-07-11" @default.
- W4320166075 modified "2023-09-27" @default.
- W4320166075 title "PSP-HDRI$+$: A Synthetic Dataset Generator for Pre-Training of Human-Centric Computer Vision Models" @default.
- W4320166075 doi "https://doi.org/10.48550/arxiv.2207.05025" @default.
- W4320166075 hasPublicationYear "2022" @default.
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