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浏览/检索结果:
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Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer
会议论文
Queensland, Australia, June 18 - 23, 2023
作者:
Nannan Li
;
Yaran Chen
;
Dongbin Zhao
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/06/28
RGBT Tracking by Trident Fusion Network
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 2, 页码: 579-592
作者:
Zhu, Yabin
;
Li, Chenglong
;
Tang, Jin
;
Luo, Bin
;
Wang, Liang
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/06/06
Feature extraction
Convolution
Target tracking
Training
Aggregates
Visualization
Benchmark testing
RGBT tracking
feature aggregation
feature pruning
trident architecture
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 1, 页码: 257-269
作者:
Xu, Ting-Bing
;
Liu, Cheng-Lin
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/02/16
Training
Nonlinear distortion
Data models
Neural networks
Knowledge engineering
Network architecture
Generalization error
network compression
representation invariance
self-distillation (SD)
Extremely Sparse Networks via Binary Augmented Pruning for Fast Image Classification
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
作者:
Wang, Peisong
;
Li, Fanrong
;
Li, Gang
;
Cheng, Jian
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/01/27
Hardware acceleration
image classification
neural networks
pruning
software-hardware codesign
Towards Fully Sparse Training: Information Restoration with Spatial Similarity
会议论文
Vancouver, British Columbia, Canada, 2022-04
作者:
Xu WX(许伟翔)
;
Wang PS(王培松)
;
Cheng J(程健)
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  |  
浏览/下载:3/0
  |  
提交时间:2023/06/20
You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 9, 页码: 2891-2904
作者:
Zhang, Xinbang
;
Huang, Zehao
;
Wang, Naiyan
;
Xiang, Shiming
;
Pan, Chunhong
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  |  
浏览/下载:48/0
  |  
提交时间:2021/11/02
Computer architecture
Optimization
Learning (artificial intelligence)
Task analysis
Acceleration
Evolutionary computation
Convolution
Neural architecture search(NAS)
convolution neural network
sparse optimization
Dynamically Optimizing Network Structure Based on Synaptic Pruning in the Brain
期刊论文
FRONTIERS IN SYSTEMS NEUROSCIENCE, 2021, 卷号: 15, 页码: 8
作者:
Zhao, Feifei
;
Zeng, Yi
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  |  
浏览/下载:46/0
  |  
提交时间:2021/08/15
synaptic pruning
developmental neural network
optimizing network structure
accelerating learning
compressing network
Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach
期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2020, 卷号: 69, 期号: 7, 页码: 968-985
作者:
Zeng, Xi
;
Zhi, Tian
;
Zhou, Xuda
;
Du, Zidong
;
Guo, Qi
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  |  
浏览/下载:13/0
  |  
提交时间:2020/12/10
Accelerator
architecture
deep neural networks
sparsity
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:
Ruan, Xiaofeng
;
Liu, Yufan
;
Yuan, Chunfeng
;
Li, Bing
;
Hu, Weiming
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  |  
浏览/下载:63/0
  |  
提交时间:2021/06/17
Data-driven
low-rank decomposition
model compression and acceleration
structured pruning
Finding Patterns in Adversarial Training
期刊论文
Chinese Automation Congress, 2020, 期号: 无, 页码: gress. 2020: 4130 4134.
作者:
Yutong Wang
;
Fei-Yue Wang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/06/15
Adversarial training
Feature map denoising
Channel pruning
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