机构

• 自动化研究所 [40]
• 计算技术研究所 [15]
• 地理科学与资源研究所 [6]
• 沈阳自动化研究所 [4]
• 海洋研究所 [3]
• 重庆绿色智能技术研究... [3]
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采集方式

• OAI收割 [80]

内容类型

• 期刊论文 [79]
• 会议论文 [1]

发表日期

• 2025 [3]
• 2024 [9]
• 2023 [15]
• 2022 [21]
• 2021 [15]
• 2020 [12]
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浏览/检索结果: 共80条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 ACWCD: Utilizing Inherent Transformers Information and Prior Knowledge for Weakly Supervised Change Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4402614 作者:  Liu, Wenhao;  Yu, Zhuoyuan;  Luo, Bin   |  收藏  |  浏览/下载：6/0  |  提交时间：2025/03/18 Cams  Transformers  Feature extraction  Neural networks  Training  Data mining  Remote sensing  Refining  Deep learning  Decoding  Change detection (CD)  class activation maps (CAMs)  deep learning  high-resolution images  multihead self-attention (MHSA)  prior knowledge  transformers  weakly supervised learning   Parcel-Level Mapping of Artificial Forests Along the Middle Reach Valley of Yarlung Tsangpo River Based on Deep Learning Algorithms 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2025, 卷号: 22, 页码: 5 作者:  Xia, Changshuo;  Zhao, Wei;  Tan, Jianbo;  Wu, Tianjun;  Ding, Tao   |  收藏  |  浏览/下载：29/0  |  提交时间：2025/04/08 Forests  Accuracy  Feature extraction  Image segmentation  Training  Rivers  Deep learning  Remote sensing  Level set  Data mining  Artificial forests (AFs)  deep learning (DL)  image segmentation  Yarlung Tsangpo River   A Novel Hybrid-DCNN-Based Framework for Enhanced Rice Aboveground Biomass Estimation Under Limited Samples 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4405716 作者:  Liu, Yibo;  Pei, Jie;  Zou, Yaopeng;  Tan, Shaofeng;  He, Yinan   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/04/21 Data models  Crops  Autonomous aerial vehicles  Estimation  Training  Biomass  Predictive models  Fertilizers  Deep learning  Biological system modeling  Aboveground biomass (AGB)  deep convolutional neural network (DCNN)  multisource uncrewed aerial vehicle (UAV) data  PROSAIL-PRO  rice   Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON BIG DATA, 2024, 卷号: 10, 期号: 6, 页码: 789-800 作者:  He, Yuting;  Chen, Yiqiang;  Yang, XiaoDong;  Yu, Hanchao;  Huang, Yi-Hua   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 Data models  Training  Servers  Collaborative work  Adaptation models  Convergence  Feature extraction  Federated learning  knowledge distillation  non-identically distributed  deep learning  catastrophic forgetting   A Lightweight Deep Human Activity Recognition Algorithm Using Multiknowledge Distillation 期刊论文  OAI收割 IEEE SENSORS JOURNAL, 2024, 卷号: 24, 期号: 19, 页码: 31495-31511 作者:  Chen, Runze;  Luo, Haiyong;  Zhao, Fang;  Meng, Xuechun;  Xie, Zhiqing   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/12/06 Human activity recognition  Computational modeling  Sensors  Feature extraction  Training  Task analysis  Deep learning  Artificial neural network  human activity recognition (HAR)  multiknowledge distillation   UAV-Enabled Federated Learning in Dynamic Environments: Efficiency and Security Trade-Off 期刊论文  OAI收割 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 卷号: 73, 期号: 5, 页码: 6993-7006 作者:  Fan, Xiaokun;  Chen, Yali;  Liu, Min;  Sun, Sheng;  Liu, Zhuotao   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/12/06 Training  Security  Autonomous aerial vehicles  Energy consumption  Resource management  Data models  Computational modeling  Deep reinforcement learning  federated learning (FL)  physical layer security  resource allocation  unmanned aerial vehicle (UAV)   Boosting On-Policy Actor-Critic With Shallow Updates in Critic 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 10 作者:  Li, Luntong;  Zhu, Yuanheng   |  收藏  |  浏览/下载：31/0  |  提交时间：2024/07/03 Artificial neural networks  Vectors  Task analysis  Training  Representation learning  Approximation algorithms  Optimization  Actor-critic  deep reinforcement learning (DRL)  proximal policy optimization (PPO)  shallow reinforcement learning (SRL)   Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training 期刊论文  OAI收割 JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2024, 卷号: 185, 页码: 10 作者:  Dai, Lingfei;  Gong, Luqi;  An, Zhulin;  Xu, Yongjun;  Diao, Boyu   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/05/20 Gradient compression  Multi-layer fusion  Distributed stochastic gradient descent  Deep learning training   GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks 期刊论文  OAI收割 IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2024, 卷号: 70, 期号: 1, 页码: 2038-2048 作者:  Fan, Xinxin;  Li, Mengfan;  Zhou, Jia;  Jing, Quanliang;  Lin, Chi   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/12/06 Closed box  Perturbation methods  Predictive models  Indexes  Training  Glass box  Optimization  Deep learning  adversarial examples  black-box adversarial attack  transferability   IterDepth: Iterative Residual Refinement for Outdoor Self-Supervised Multi-Frame Monocular Depth Estimation 期刊论文  OAI收割 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：29/0  |  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