PCB Defect Detection Based on Evolutionary Object Detection Algorithm
PulseAugur coverage of PCB Defect Detection Based on Evolutionary Object Detection Algorithm — every cluster mentioning PCB Defect Detection Based on Evolutionary Object Detection Algorithm across labs, papers, and developer communities, ranked by signal.
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Joint SR and CAR training boosts machine vision defect detection
A new research paper proposes an integrated framework for enhancing image quality in industrial machine vision. This framework jointly trains super-resolution (SR) and compression artifact removal (CAR) models, optimizi…
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New geometry augmentation boosts few-shot industrial defect detection
This paper introduces Rough Path Signature-Guided Geometry Augmentation (RPS-GA), a novel method to improve few-shot industrial defect detection. RPS-GA treats Canny edge contours as ordered paths and uses their signatu…
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New geometry augmentation boosts few-shot industrial defect detection
Researchers have developed a new method called rough path signature-guided geometry augmentation (RPS-GA) to improve few-shot industrial surface defect detection. This technique treats Canny edge contours as planar path…
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New method improves PCB defect detection with scale-aware tiling
Researchers have developed a new method for detecting defects on high-resolution printed circuit boards (PCBs) that addresses issues with scale and tile boundaries. Their approach involves training detectors on tile cro…