Researchers have developed MagikaDocumentFromPixel, a fast and efficient image quality gate for vision pipelines. This system can classify images as sharp, blurred, or uncertain in approximately 7 milliseconds on a single CPU core. The method utilizes an Edge Prior Module (EPM) and is trained on high-resolution images, achieving a high F1 score and AUC. AI
IMPACT This image quality gate could improve the efficiency of vision pipelines by filtering out unusable blurry images before they are processed by more computationally intensive models.
RANK_REASON The cluster contains two identical arXiv preprints detailing a new research paper on a vision-language pipeline component.
- arXiv
- DocVLM
- EPM
- GoPro Large
- Hugging Face
- MagikaDocumentFromPixel
- MobileNetV3-Large
- Edge Prior Module
- Laplacian-magnitude
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