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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：3/0 \| 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
	Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis 期刊论文 Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836 作者: Kai Zhang 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/11/23 Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline
	Exponential Information Bottleneck Theory Against Intra-Attribute Variations for Pedestrian Attribute Recognition 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 卷号: 18, 页码: 5623-5635 作者: Wu, Junyi; Huang, Yan; Gao, Min; Gao, Zhipeng; Zhao, Jianqiang 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/16 Feature extraction Pedestrians Mutual information Body regions Training Task analysis Semantics Pedestrian attribute recognition intra-attribute variations exponential information bottleneck
	Inverted N-Type Lightweight Network Based on Back Projection for Image Super-Resolution Reconstruction 期刊论文 Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2022, 卷号: 34, 期号: 6, 页码: 923-932 作者: Song, Zhaoyang; Zhao, Xiaoqiang; Hui, Yongyong; Jiang, Hongmei 收藏 \| 浏览/下载：11/0 \| 提交时间：2022/07/20 Deep learning Image reconstruction Optical resolving power Signal to noise ratio Backprojections Deep learning Image super-resolution reconstruction Inverted N-type network Low resolution images Network-based Reconstruction algorithms Resolution images Super-resolution reconstruction Superresolution
	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：5/0 \| 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)
	Detecting Compressed Deepfake Videos in Social Networks Using Frame-Temporality Two-Stream Convolutional Network 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 3, 页码: 1089-1102 作者: Hu, Juan; Liao, Xin; Wang, Wei; Qin, Zheng 收藏 \| 浏览/下载：18/0 \| 提交时间：2022/06/06 Videos Information integrity Feature extraction Streaming media Faces Forensics Social networking (online) Video forensics compressed Deepfake videos frame-level stream temporality-level stream
	PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient 会议论文 New Orleans, America, Monday November 28th through Friday December 9th 作者: Weihan, Cao; Yifan, Zhang; Jianfei, Gao; Anda, Cheng; Ke, Cheng 收藏 \| 浏览/下载：0/0 \| 提交时间：2023/06/21 Knowledge Distillation Model Compression Object Detection
	Uplink-Downlink Duality Between Multiple-Access and Broadcast Channels With Compressing Relays 期刊论文 IEEE TRANSACTIONS ON INFORMATION THEORY, 2021, 卷号: 67, 期号: 11, 页码: 7304-7337 作者: Liu, Liang; Liu, Ya-Feng; Patil, Pratik; Yu, Wei 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/04/02 Relays Uplink Downlink Interference Signal to noise ratio Array signal processing Encoding Uplink-downlink duality multiple-access channel broadcast channel relay channel Wyner-Ziv compression multivariate compression cloud radio access network cell-free massive multiple-input multiple-output (MIMO)
	An Improved Robust Digital Image Watermarking Algorithm based on two-level DCT 会议论文 Beijing, China, November 18-21, 2021 作者: Huijuan Guo; Baoning Niu; Ying Huang; Hu Guan; Fangpeng Lan 收藏 \| 浏览/下载：26/0 \| 提交时间：2022/04/08
	Drill the Cork of Information Bottleneck by Inputting the Most Important Data 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Peng, Xinyu; Zhang, Jiawei; Wang, Fei-Yue; Li, Li 收藏 \| 浏览/下载：16/0 \| 提交时间：2022/01/27 Training Signal to noise ratio Mutual information Optimization Convergence Deep learning Tools Information bottleneck (IB) theory machine learning minibatch stochastic gradient descent (SGD) typicality sampling

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