PSP-HDRI\(+\): A Synthetic Dataset Generator for Pre-Training of Human-Centric Computer Vision Models

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 alternativ...

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Bibliographic Details
Published in:arXiv.org 2022-07
Main Authors: Salehe Erfanian Ebadi, Dhakad, Saurav, Vishwakarma, Sanjay, Wang, Chunpu, You-Cyuan Jhang, Chociej, Maciek, Crespi, Adam, Thaman, Alex, Ganguly, Sujoy
Format: Article
Language:English
Subjects:
Ablation
Computer vision
Synthetic data
Training
Online Access:Get full text
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Summary: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.
ISSN:2331-8422