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	IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 329-341 作者: Feng, Cheng; Chen, Zhen; Zhang, Congxuan; Hu, Weiming; Li, Bing 收藏 \| 浏览/下载：2/0 \| 提交时间：2024/03/26 Estimation Iterative methods Cameras Task analysis Feature extraction Decoding Training Monocular depth estimation iterative refinement self-supervised learning deep learning
	Adversarial Heterogeneous Graph Neural Network for Robust Recommendation 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 12 作者: Sang, Lei; Xu, Min; Qian, Shengsheng; Wu, Xindong 收藏 \| 浏览/下载：6/0 \| 提交时间：2023/11/22 Perturbation methods Motion pictures Training Graph neural networks Robustness Semantics Predictive models Adversarial training (AT) graph neural network (GNN) heterogeneous graph recommendation
	Robust Monitor for Industrial IoT Condition Prediction 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629 作者: Zhang, Xingwei; Tian, Hu; Zheng, Xiaolong; Zeng, Daniel Dajun 收藏 \| 浏览/下载：13/0 \| 提交时间：2023/11/17 Perturbation methods Monitoring Industrial Internet of Things Training Predictive models Robustness Temperature sensors Adversarial perturbation adversarial training Industrial Internet of Things (IIoT) machine learning (ML) temporal convolutional network (TCN)
	Online Progressive Instance-Balanced Sampling for Weakly Supervised Vibration Damper Detection 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14 作者: Chen, Minghao; Tian, Yunong; Li, Zhishuo; Li, En; Liang, Zize 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Shock absorbers Vibrations Object detection Proposals Training Sampling methods Convolutional neural networks Instance balance multiple instance learning (MIL) progressive sampling vibration damper detection weakly supervised object detection (WSOD)
	Towards Human-Machine Recognition Alignment: An Adversarilly Robust Multimodal Retrieval Hashing Framework 期刊论文 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13 作者: Zhang, Xingwei; Zheng, Xiaolong; Liu, Bin; Wang, Xiao; Mao, Wenji 收藏 \| 浏览/下载：27/0 \| 提交时间：2022/11/14 Training Task analysis Semantics Perturbation methods Feature extraction Computational modeling Robustness Adversarial perturbation adversarially robust training deep hashing multimodal retrieval
	Adversarial Information Bottleneck 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10 作者: Zhai, Penglong; Zhang, Shihua 收藏 \| 浏览/下载：17/0 \| 提交时间：2023/02/07 Robustness Optimization Mutual information Deep learning Perturbation methods Training Task analysis Adversarial robustness deep learning hyperparameter selection information bottleneck (IB)
	Progressive Feature Learning for Facade Parsing With Occlusions 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2081-2093 作者: Ma, Wenguang; Xu, Shibiao; Ma, Wei; Zhang, Xiaopeng; Zha, Hongbin 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/06/06 Uncertainty Bayes methods Convolutional neural networks Buildings Training Context modeling Representation learning Facade parsing occlusion feature representation manmade structure
	Perturbation Inactivation Based Adversarial Defense for Face Recognition 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2947-2962 作者: Ren, Min; Zhu, Yuhao; Wang, Yunlong; Sun, Zhenan 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/11/14 Face recognition Perturbation methods Robustness Immune system Principal component analysis Deep learning Training Adversarial machine learning deep learning graph neural network face recognition
	Adversarial Analysis for Source Camera Identification 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 11, 页码: 4174-4186 作者: Wang, Bo; Zhao, Mengnan; Wang, Wei; Dai, Xiaorui; Li, Yi 收藏 \| 浏览/下载：38/0 \| 提交时间：2021/12/28 Cameras Feature extraction Forensics Task analysis Perturbation methods Neural networks Training Adversarial attacks fingerprint copy-move attack joint feature-based auto-learning attack relation mismatch
	One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2921-2935 作者: Zhang, Miao; Li, Huiqi; Pan, Shirui; Chang, Xiaojun; Zhou, Chuan 收藏 \| 浏览/下载：92/0 \| 提交时间：2021/10/26 Computer architecture Training Optimization Neural networks Search methods Australia Germanium AutoML neural architecture search continual learning catastrophic forgetting novelty search

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