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西安交通大学 [16]

北京航空航天大学 [6]

兰州理工大学 [3]

厦门大学 [1]

大连理工大学 [1]

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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：5/0 \| 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：72/0 \| 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：25/0 \| 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：4/0 \| 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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