受强制性开放获取政策约束的文章 - Fan Li 李凡了解详情
无法在其他位置公开访问的文章：39 篇
Efficient attention based deep fusion CNN for smoke detection in fog environment
L He, X Gong, S Zhang, L Wang, F Li
Neurocomputing 434, 224-238, 2021
强制性开放获取政策： 国家自然科学基金委员会
DRL-Based Joint Resource Allocation and Device Orchestration for Hierarchical Federated Learning in NOMA-Enabled Industrial IoT
T Zhao, F Li, L He
IEEE Transactions on Industrial Informatics, 2022
强制性开放获取政策： 国家自然科学基金委员会
Gaussian Focal Loss: Learning Distribution Polarized Angle Prediction for Rotated Object Detection in Aerial Images
J Wang, F Li, H Bi
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022
强制性开放获取政策： 国家自然科学基金委员会
MMMNet: An End-to-End Multi-task Deep Convolution Neural Network with Multi-scale and Multi-hierarchy Fusion for Blind Image Quality Assessment
F Li, Y Zhang, PC Cosman
IEEE Transactions on Circuits and Systems for Video Technology 31 (12), 4798 …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Twin Broad Learning System for Fault Diagnosis of Rotating Machinery
L Yang, Z Yang, S Song, F Li, CLP Chen
IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2023
强制性开放获取政策： 国家自然科学基金委员会
A Cost-constrained Video Quality Satisfaction Study on Mobile Devices
F Li, S Fu, Z Liu, X Qian
IEEE Transactions on Multimedia 20 (5), 1154-1168, 2018
强制性开放获取政策： 国家自然科学基金委员会
Dynamic spatial focus for efficient compressed video action recognition
Z Zheng, L Yang, Y Wang, M Zhang, L He, G Huang, F Li
IEEE Transactions on Circuits and Systems for Video Technology 34 (2), 695-708, 2023
强制性开放获取政策： 国家自然科学基金委员会
AdaDet: An Adaptive Object Detection System based on Early-exit Neural Networks
L Yang, Z Zheng, J Wang, S Song, G Huang, F Li
IEEE Transactions on Cognitive and Developmental Systems, 2023
强制性开放获取政策： 国家自然科学基金委员会
Deep Feature Importance Awareness based No-Reference Image Quality Prediction
X Yang, F Li, H Liu
Neurocomputing 401, 209-223, 2020
强制性开放获取政策： 国家自然科学基金委员会
Human–machine interaction-oriented image coding for resource-constrained visual monitoring in IoT
Z Wang, F Li, J Xu, PC Cosman
IEEE Internet of Things Journal 9 (17), 16181-16195, 2022
强制性开放获取政策： 国家自然科学基金委员会
Learning-based rate control for video-based point cloud compression
T Wang, F Li, PC Cosman
IEEE Transactions on Image Processing 31, 2175-2189, 2022
强制性开放获取政策： 国家自然科学基金委员会
Convolutional neural network based low complexity HEVC intra encoder
Z Wang, F Li
Multimedia Tools and Applications 80, 2441-2460, 2021
强制性开放获取政策： 国家自然科学基金委员会
Multimodal mutual attention-based sentiment analysis framework adapted to complicated contexts
L He, Z Wang, L Wang, F Li
IEEE Transactions on Circuits and Systems for Video Technology 33 (12), 7131 …, 2023
强制性开放获取政策： 国家自然科学基金委员会
End-to-end blind video quality assessment based on visual and memory attention modeling
X Guan, F Li, Y Zhang, PC Cosman
IEEE Transactions on Multimedia 25, 5206-5221, 2022
强制性开放获取政策： 国家自然科学基金委员会
Dark-channel based attention and classifier retraining for smoke detection in foggy environments
X Gong, H Hu, Z Wu, L He, L Yang, F Li
Digital Signal Processing 123, 103454, 2022
强制性开放获取政策： 国家自然科学基金委员会
Low Complexity Error Resilient HEVC Video Coding: A Deep Learning Approach
T Wang, F Li, X Qiao, PC Cosman
IEEE Transactions on Image Processing 30, 1245-1260, 2020
强制性开放获取政策： 国家自然科学基金委员会
Secure Video Offloading in Multi-UAV-Enabled MEC Networks: A Deep Reinforcement Learning Approach
T Zhao, F Li, L He
IEEE Internet of Things Journal, 2023
强制性开放获取政策： 国家自然科学基金委员会
Secure Video Offloading in MEC-Enabled IIoT Networks: A Multicell Federated Deep Reinforcement Learning Approach
T Zhao, F Li, L He
IEEE Transactions on Industrial Informatics 20 (2), 1618-1629, 2023
强制性开放获取政策： 国家自然科学基金委员会
Learn a Compression for Objection Detection-VAE with a Bridge
Y Mei, F Li, L Li, Z Li
2021 International Conference on Visual Communications and Image Processing …, 2021
强制性开放获取政策： US National Science Foundation, 国家自然科学基金委员会
Spectral Correlation-Based Diverse Band Selection for Hyperspectral Image Classification
M Ma, S Mei, F Li, Y Ge, Q Du
IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023
强制性开放获取政策： 国家自然科学基金委员会
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