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西安交通大学 [16]
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兰州理工大学 [3]
厦门大学 [1]
大连理工大学 [1]
安徽大学 [1]
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会议论文 [16]
期刊论文 [14]
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Gradual deep residual network for super-resolution
期刊论文
Multimedia Tools and Applications, 2021, 卷号: 80, 期号: 7, 页码: 9765-9778
作者:
Song, Zhaoyang
;
Zhao, Xiaoqiang
;
Jiang, Hongmei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2021/06/03
Deep neural networks
Image enhancement
Optical resolving power
Benchmark datasets
High resolution image
Low resolution images
Quantitative evaluation
Reconstruction networks
Reconstruction process
State-of-the-art methods
Visual evaluation
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification
期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 1318-1331
作者:
Li, Xiaoxu
;
Wu, Jijie
;
Sun, Zhuo
;
Ma, Zhanyu
;
Cao, Jie
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/03/02
Embeddings
Image enhancement
Benchmark datasets
Discriminative features
Feature space
Metric-based methods
Model generalization
Similarity measure
Similarity network
State of the art
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 页码: 6482-6495
作者:
Li, Xiaoxu
;
Chang, Dongliang
;
Ma, Zhanyu
;
Tan, Zheng-Hua
;
Xue, Jing-Hao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/14
Benchmarking
Deep neural networks
Large dataset
Testing
Benchmark datasets
Discriminative features
Function spaces
Generalization error bounds
Nonlinear layers
Number of class
Rademacher complexity
Small sample datum
Robust correlation filter tracking with deep semantic supervision
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760
作者:
Wang, Wei
;
Chen, Zhaoming
;
Douadji, Lyes
;
Shi, Mingquan
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2019/06/24
particle filtering (numerical methods)
learning (artificial intelligence)
target tracking
convolutional neural nets
robust correlation filter tracking
high tracking performance
tracking failure
deep semantic supervision tracking framework
redetection tracking mechanism
particle filtering resampling
CF tracker
deep convolutional neural network
tracking frames
target occlusion
handcrafted features
real-time performance
OTB2013 benchmark datasets
OTB2015 benchmark datasets
Improving Object Retrieval Quality by Integration of Similarity Propagation and Query Expansion
期刊论文
IEEE Transactions on Multimedia, 2019, 卷号: 21, 页码: 760-770
作者:
Pang, Shanmin
;
Ma, Jin
;
Zhu, Jihua
;
Xue, Jianru
;
Tian, Qi
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/11/19
Benchmark datasets
Image representations
Object retrieval
Performance improvements
Query expansion
Re-ranking
Similarity propagation
Unified framework
Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework
期刊论文
International Journal of Computer Vision, 2019, 卷号: 127, 页码: 363-380
作者:
Zhang, Dingwen
;
Han, Junwei
;
Zhao, Long
;
Meng, Deyu
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/11/19
Benchmark datasets
Learning frameworks
Learning object model
Learning process
Self-paced larning
State-of-the-art methods
Vision communities
Weakly supervised learning
Detected text-based image retrieval approach for textual images
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 页码: 515-521
作者:
Unar, Salahuddin
;
Wang, Xingyuan
;
Zhang, Chuan
;
Wang, Chunpeng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Content based retrieval
Optical character recognition, Benchmark datasets
Content based image retrieval
Emerging technologies
Geometric properties
Maximally Stable Extremal Regions
Probabilistic language
Research fields
Text-based image retrievals, Mathematical transformations
Multi-scale Aggregation Network for Direct Face Alignment
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Li, Peizhao
;
Zhang, Anran
;
Yue, Lei
;
Zhen, Xiantong
;
Cao, Xianbin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Benchmarking
Computer vision
Convolution
Neural networks
Semantics
Aggregation network
Attention mechanisms
Benchmark datasets
Convolutional neural network
Intermediate layers
Learning architectures
Multi-scale features
State-of-the-art methods
Network architecture
Model-free Tracking with Deep Appearance and Motion Features Integration
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Jiang, Xiaolong
;
Li, Peizhao
;
Zhen, Xiantong
;
Cao, Xianbin
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Benchmarking
Neural networks
Benchmark datasets
Convolutional neural network
Motion detection
Output response
Parallel streams
Prior information
Real time modeling
Real-time processing speed
Computer vision
Starts Better and Ends Better: A Target Adaptive Image Signature Tracker
会议论文
2019 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2019-01-01
作者:
Liu, Xingchao
;
Li, Ce
;
Wang, Hongren
;
Zhen, Xiantong
;
Zhang, Baochang
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Aircraft detection
Computer vision
Benchmark datasets
Boundary effects
Closed form solutions
Correlation filters
State of the art
Tracking process
Visual object tracking
Visual Tracking
Benchmarking
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