Subjects :
Adversarial Training
논문 검색결과
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Year |
Title |
Cited |
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Conference
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2024 |
Adversarial Training based Domain Adaptation for Cross-Subject Emotion Recognition
Muhammad Zubair Conference on Neural Information Processing Systems (NeurIPS) 2024 : Workshop, pp.1-9 |
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Conference
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2024 |
Adversarial Training based Domain Adaptation for Cross-Subject Emotion Recognition
Sungpil Woo Conference on Neural Information Processing Systems (NeurIPS) 2024 : Workshop, pp.1-9 |
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Conference
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2023 |
Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations
Lee Jae Young British Machine Vision Conference (BMVC) 2023, pp.1-13 |
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Journal
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2022 |
Exploiting domain transferability for collaborative inter-level domain adaptive object detection
전석규 Expert Systems with Applications, v.205, pp.1-12 |
8 |
원문
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Journal
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2022 |
Exploiting domain transferability for collaborative inter-level domain adaptive object detection
이필현 Expert Systems with Applications, v.205, pp.1-12 |
8 |
원문
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Journal
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2022 |
Exploiting domain transferability for collaborative inter-level domain adaptive object detection
도미래 Expert Systems with Applications, v.205, pp.1-12 |
8 |
원문
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Conference
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2022 |
Normalizing Flow based Audio Coding
Jang Inseon International Congress on Acoustics (ICA) 2022, pp.1-5 |
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Journal
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2022 |
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
Zaheer Muhammad Zaigham IEEE Transactions on Image Processing, v.31, pp.5963-5975 |
11 |
원문
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Conference
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2021 |
Adversarial Training With Stochastic Weight Average
Joong-Won Hwang International Conference on Image Processing (ICIP) 2021, pp.814-818 |
8 |
원문
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Journal
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2021 |
Adversarial Optimization-Based Knowledge Transfer of Layer-Wise Dense Flow for Image Classification
Yeo Doyeob Applied Sciences, v.11, no.8, pp.1-16 |
2 |
원문
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Journal
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2020 |
Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity
Yoon Youngwoo ACM Transactions on Graphics, v.39, no.6, pp.1-16 |
264 |
원문
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Conference
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2020 |
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
Muhammad Zaigham Zaheer Conference on Computer Vision and Pattern Recognition (CVPR) 2020, pp.14171-14181 |
233 |
원문
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특허 검색결과
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Family Pat. |
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연구보고서 검색결과
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