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Train object detectors using images synthesized from real unmarked images

Train object detectors using images synthesized from real unmarked images


Self-Supervised Object Detection via Generative Image Synthesis

arXiv paper abstract https://arxiv.org/abs/2110.09848



... present SSOD, the first ... synthesis framework with controllable GANs for the task of self-supervised object detection.


... use collections of real world images without bounding box annotations to learn to synthesize and detect objects.


... leverage controllable GANs to synthesize images with pre-defined object properties and use them to train object detectors.


... also propose a method to optimally adapt SSOD to an intended target data without requiring labels for it.


For ... car detection ... show that SSOD outperforms the prior state-of-the-art purely image-based self-supervised object detection method Wetectron.


... without requiring any 3D CAD assets, it also surpasses the state-of-the-art rendering based method Meta-Sim2. ...



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