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DEQ-Det improves analog IC device detection with dual evidence queries

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Researchers have developed DEQ-Det, a novel method for detecting analog integrated circuit (IC) devices in layout images, even with limited annotated data. This approach constructs complementary foreground and background references from the same support images, capturing target morphology and surrounding layout patterns. DEQ-Det combines appearance with layout context to improve detection accuracy, achieving superior performance on held-out device categories compared to existing baselines. AI

RANK_REASON The cluster contains an academic paper detailing a new method for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DEQ-Det improves analog IC device detection with dual evidence queries

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The cluster contains an academic paper detailing a new method for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zidong Zhao, Rong Huang, Chengxing Fan, Jie Hu, Malik Haris, Ghazal A. Fahmy, Morteza Mousazadeh, Guoqiang Zhang ·

    DEQ-Det: Dual Evidence Queries for Few-Shot Analog IC Device Detection

    arXiv:2611.07682v1 Announce Type: new Abstract: Detecting analog integrated circuit (IC) devices in layout images supports circuit analysis and inspection. With only a few annotated examples, variation in device geometry and visual similarity to dummy or routing structures make r…

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