BWD-DETR: ライトフィールド・ウェーファー・デフェクト検出のための堅牢なフレームワーク
Ruilou Zhang1,2,3, Xiangji Guo1,2, Yuankang Xu1,2
1Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Sensors (Basel, Switzerland)
|February 13, 2026
まとめ
この研究は,BWD-DETRを導入し,明るいフィールドイメージングを使用して小さな円盤表面の欠陥を検出するための新しいフレームワークである. この方法は,サブミクロンの欠陥の検出を大幅に改善し,半導体製造における精度を高めます.
科学分野:
- 半導体製造 半導体製造業
- オプティカル・インスペクション・インスペクション
- コンピュータビジョン コンピュータビジョン
背景:
- ライトフィールド光学画像は,ウェーファー欠陥検出の標準です.
- パターン付きウェファーの小さな粒子の欠陥は,背景のノイズとテクスチャのために困難です.
- 既存の方法は,サブミクロンの欠陥の検出と位置付けの精度で苦労しています.
研究 の 目的:
- 明るいフィールドイメージングの下で,ウェーファー表面の欠陥を検出するための高度な検出フレームワークを開発する.
- 小規模およびサブミクロンの欠陥の検出と位置付けの精度を向上させるため.
- 現在の明るいフィールドイメージング技術の限界を克服するために.
主な方法:
- 提案されたBWD-DETRの枠組みは,RT-DETRのベースラインに基づいています.
- 強化された機能抽出のためのウェーブレットバックボーンの統合.
- 改善された故障信号処理のためのSMFIとCAS-Fusionモジュールの追加.
主要な成果:
- 96.56%のAP50と54.94%のAP50:95を明るいフィールドのウェーファー欠陥検出で達成しました.
- ベースラインより1.64% (AP50) と2.17% (AP50:95) のパフォーマンスの改善が実証されました.
- マイクロン未満の欠陥の検出能力を成功裏に強化しました.
結論:
- BWD-DETRフレームワークは,明るいフィールドのウェーファーの欠陥検出に優れた性能を提供します.
- 提案された方法は,小さな欠陥や複雑な背景によって引き起こされる課題を効果的に解決します.
- このアプローチは,半導体製造における自動検査を推進する.
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