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Home/Authors/Priyanka Bagade

Priyanka Bagade

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Vision×2AI×2ML×2

Frequent co-authors

Vinay Edula2×
Nilesh Badwe1×

Research Timeline

2026
RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection

RefDiffNet is a lightweight, plug-and-play module that enhances PCB defect detection by comparing the defective image to a defect-free reference image, significantly improving detection accuracy with minimal computational overhead.

MoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts

The paper proposes MoEIoU, a novel mixture-of-experts based regression loss that adaptively models bounding-box localization errors, achieving superior convergence and accuracy in object detection.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIcs.LGRecentMay 30, 2026

RefDiffNet: Learning to Expose Subtle PCB Defects Before Detection

Vinay Edula, Nilesh Badwe, Priyanka Bagade

RefDiffNet is a lightweight, plug-and-play module that enhances PCB defect detection by comparing the defective image to a defect-free reference image, significantly improving detection accuracy with…

View →
cs.CVcs.AIcs.LGRecentMay 30, 2026

MoEIoU: Rethinking Bounding-Box Regression as a Mixture of Experts

Vinay Edula, Priyanka Bagade

The paper proposes MoEIoU, a novel mixture-of-experts based regression loss that adaptively models bounding-box localization errors, achieving superior convergence and accuracy in object detection.

View →