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	IAN: Instance-Augmented Net for 3D Instance Segmentation 期刊论文 IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 7, 页码: 4354-4361 作者: Wan, Zihao; Hu, Jianhua; Zhang, Haojian; Wang, Yunkuan 收藏 \| 浏览/下载：2/0 \| 提交时间：2023/11/17 Three-dimensional displays Feature extraction Point cloud compression Solid modeling Semantics Noise measurement Aggregates Deep learning for visual perception RGB-D perception data sets for robotic vision
	Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21 作者: Xie, Zexiao; Yu, Xiaoxuan; Gao, Xiang; Li, Kunqian; Shen, Shuhan 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/11/14 Task analysis Learning systems Noise measurement Laser radar Image color analysis Deep learning Data integration Data fusion deep learning depth completion loss function RGB-D and LiDAR data
	Localizability With Range-Difference Measurements: Numerical Computation and Error Bound Analysis 期刊论文 IEEE-ACM TRANSACTIONS ON NETWORKING, 2022, 页码: 14 作者: Zeng, Guangyang; Mu, Biqiang; Wei, Jieqiang; Wong, Wing Shing; Wu, Junfeng 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/06/21 Location awareness Noise measurement Error analysis Pollution measurement Measurement uncertainty Coordinate measuring machines Closed-form solutions Localization time difference of arrival (TDOA) nonconvex optimization numerical computation Lagrange multiplier
	Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 4, 页码: 4119-4128 作者: Sun, Hao; Madonski, Rafal; Li, Shihua; Zhang, Ya; Xue, Wenchao 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/04/02 Observers Noise measurement Steady-state Kalman filters Tuning Measurement uncertainty Estimation error Composite control disturbance rejection extended state observer (ESO) Kalman filter (KF) sensor noise
	Duality-Gated Mutual Condition Network for RGBT Tracking 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14 作者: Lu, Andong; Qian, Cun; Li, Chenglong; Tang, Jin; Wang, Liang 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/06/10 Target tracking Cameras Learning systems Sampling methods Noise measurement Computational modeling Computational efficiency Bidirectional feature modulation conditional learning gated scheme RGB-Thermal (RGBT) tracking
	Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 11 作者: Peng, Xinyu; Wang, Fei-Yue; Li, Li 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/06/06 Training Estimation Deep learning Standards Optimization Noise measurement Convergence Deep learning generalization performance nontypicality sampling scheme stochastic gradient descent (SGD)
	A Novel NMF Guided for Hyperspectral Unmixing From Incomplete and Noisy Data 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60 作者: Dong, Le; Lu, Xiaoqiang; Liu, Ganchao; Yuan, Yuan 收藏 \| 浏览/下载：37/0 \| 提交时间：2022/01/18 Image reconstruction Hyperspectral imaging Noise measurement Gaussian noise Interference Stability analysis Sensors Hyperspectral unmixing (HU) image reconstruction nonnegative matrix factorization (NMF) spatial-spectral information
	A Unified Framework for Biphasic Facial Age Translation With Noisy-Semantic Guided Generative Adversarial Networks 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 1513-1527 作者: Sun, Muyi; Wang, Jian; Liu, Jian; Li, Jianshu; Chen, Tao 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/06/10 Semantics Faces Face recognition Training Noise measurement Layout Image synthesis Biphasic facial age translation noisy semantic injection generative adversarial network attention mechanism feature disentanglement
	Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1020-1030 作者: Zuo, Yukun; Yao, Hantao; Zhuang, Liansheng; Xu, Changsheng 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/06/06 Noise measurement Adaptation models Predictive models Reliability Task analysis Standards Data models Noisy domain adaptation Seek common ground component Reserve differences component
	Weakly-Supervised Facial Expression Recognition in the Wild With Noisy Data 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 1800-1814 作者: Zhang, Feifei; Xu, Mingliang; Xu, Changsheng 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/06/10 Noise measurement Face recognition Data models Task analysis Training data Training Annotations Facial expression recognition noisy labeled data clean labels end-to-end pose modeling noise modeling

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