WitrynaCVF Open Access WitrynaLeveraging a newly-proposed pre-training task -- multi-instance prediction -- our experiments demonstrate that fine-tuning a network pre-trained using fractals attains …

arXiv:2101.08515v1 [cs.CV] 21 Jan 2024

WitrynaFramework Proposed pre-training without natural images based on fractals, which is a natural formula existing in the real world (Formula-driven Supervised Learning). We automatically generate a large-scale labeled image … WitrynaLeveraging a newly-proposed pre-training task -- multi-instance prediction -- our experiments demonstrate that fine-tuning a network pre-trained using fractals attains 92.7-98.1% of the accuracy of an ImageNet pre-trained network. Publication: arXiv e-prints Pub Date: October 2024 DOI: 10.48550/arXiv.2110.03091 arXiv: … helmers furniture leavenworth kansas

Improving Fractal Pre-training - YouTube

Witryna1 sty 2024 · Leveraging a newly-proposed pre-training task—multi-instance prediction—our experiments demonstrate that fine-tuning a network pre-trained using … WitrynaFigure 1. Fractal pre-training. We generate a dataset of IFS codes (fractal parameters), which are used to generate images on-the-fly for pre-training a computer vision model, which can then be fine-tuned for a variety of real-world image recognition tasks. - "Improving Fractal Pre-training" helmer shields funeral