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[๋…ผ๋ฌธ ๋ฆฌ๋ทฐ] Masked Autoencoders Are Scalable Vision Learners(CVPR, 2021)

๐Ÿ“Œ ๋ณธ ๋‚ด์šฉ์€ ๋…ผ๋ฌธ ์ž…๋ฌธ์ž๊ฐ€ ๊ฐœ์ธ์ ์œผ๋กœ ํ•„๊ธฐํ•œ ๋‚ด์šฉ์ž…๋‹ˆ๋‹ค. ๋‚ด์šฉ์— ์˜ค๋ฅ˜๋‚˜ ํ”ผ๋“œ๋ฐฑ์ด ์žˆ์œผ๋ฉด ๋ง์”€ํ•ด์ฃผ์‹œ๋ฉด ๊ฐ์‚ฌํžˆ ๋ฐ˜์˜ํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.๐Ÿ“Œ๐Ÿ˜Š ๊ฐœ์ธ ๊ธฐ๋ก์šฉ ํฌ์ŠคํŠธ์ž…๋‹ˆ๋‹ค

6์ผ ์ „
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[๋ฐฑ์ค€] 11726๋ฒˆ 2xn ํƒ€์ผ๋ง - ํŒŒ์ด์ฌ(Python)

โค๏ธ ์•Œ๊ณ ๋ฆฌ์ฆ˜ - ๋‹ค์ด๋‚˜๋ฏน ํ”„๋กœ๊ทธ๋ž˜๋ฐ - ๋ฐฑ์ค€ 11726 โค๏ธ

2023๋…„ 8์›” 17์ผ
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[๋ฐฑ์ค€] 1463๋ฒˆ 1๋กœ ๋งŒ๋“ค๊ธฐ - ํŒŒ์ด์ฌ(Python)

โค๏ธ ์•Œ๊ณ ๋ฆฌ์ฆ˜ - ๋‹ค์ด๋‚˜๋ฏน ํ”„๋กœ๊ทธ๋ž˜๋ฐ - ๋ฐฑ์ค€ 1463 โค๏ธ

2023๋…„ 8์›” 17์ผ
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[๋…ผ๋ฌธ ๋ฆฌ๋ทฐ] Attention Is All You Need (NIPS, 2017)

๐Ÿ’œ Attention, Transformer์— ๋Œ€ํ•œ ๋…ผ๋ฌธ ๋ฆฌ๋ทฐ ๐Ÿ’œ

2023๋…„ 8์›” 13์ผ
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[๋…ผ๋ฌธ ๋ฆฌ๋ทฐ] A PCB Dataset for Defects Detection and Classification

๐Ÿ’œ pcb defect detection with SURF, ์ ์‘์  ์ž„๊ณ„๊ฐ’ ๋ถ„ํ•  ์•Œ๊ณ ๋ฆฌ์ฆ˜, ์ค‘์•™๊ฐ’ ํ•„ํ„ฐ๋ง ๋…ผ๋ฌธ ๋ฆฌ๋ทฐ ๐Ÿ’œ

2023๋…„ 8์›” 12์ผ
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[๋…ผ๋ฌธ ๋ฆฌ๋ทฐ] ONLINE PCB DEFECT DETECTOR ON A NEW PCB DEFECT DATASET (2019)

๐Ÿ’œ pcb defect detection with GPP ๋…ผ๋ฌธ ๋ฆฌ๋ทฐ ๐Ÿ’œ

2023๋…„ 8์›” 12์ผ
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[๋…ผ๋ฌธ ๋ฆฌ๋ทฐ] PCB-Defect-Detection-using-Deepstream (2022)

๐Ÿ’œ PCB defect detection with YOLOv5 ๋…ผ๋ฌธ ๋ฆฌ๋ทฐ ๐Ÿ’œ

2023๋…„ 8์›” 12์ผ
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[๋…ผ๋ฌธ ๋ฆฌ๋ทฐ] PCB Defect Detection Using Denoising Convolutional Autoencoders (2020)

๐Ÿ’œ PCB defect detection with AutoEncoder ๋…ผ๋ฌธ ๋ฆฌ๋ทฐ ๐Ÿ’œ

2023๋…„ 8์›” 12์ผ
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[์„œ๋ฒ ์ด ๋ฆฌ๋ทฐ] Visual Anomaly Detection for Images: A Survey

๐Ÿ’› image anomaly detection ๊ด€๋ จ ์„œ๋ฒ ์ด ๐Ÿ’›

2023๋…„ 8์›” 12์ผ
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[Deep Learning] Loss Function ์ด ์ •๋ฆฌ (MAE, MSE, RMSE, Cross Entropy)

๐Ÿ“ Loss Function (MAE, MSE, RMSE, Cross Entropy) ์ด ์ •๋ฆฌ ๐Ÿ“

2023๋…„ 8์›” 12์ผ
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