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Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Yin, Yingjie;  Xu, De;  Wang, Xingang;  Zhang, Lei
收藏  |  浏览/下载：191/0  |  提交时间：2022/02/16
Feature extraction  Kernel  Object segmentation  Faces  Probabilistic logic  Learning systems  Image segmentation  Deep appearance learning  directional deep embedding learning  directional statistics-based learning  video object segmentation (VOS)  
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 0
作者:  Liu, Fei;  Liu, Jing;  Hong, Richang;  Lu, Hanqing
Adobe PDF(3550Kb)  |  收藏  |  浏览/下载：328/80  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning  
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：193/0  |  提交时间：2022/01/27
Hardware acceleration  image classification  neural networks  pruning  software-hardware codesign  
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 1-7
作者:  Wang RQ(王瑞琪);  Zhang XY(张煦尧);  Liu CL(刘成林)
Adobe PDF(1403Kb)  |  收藏  |  浏览/下载：244/50  |  提交时间：2022/01/27
domain-agnostic few-shot recognition  image classification  meta-learning  prototypical learning  
Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Yang, Yang;  Wang, Guan'an;  Tiwari, Prayag;  Pandey, Hari Mohan;  Lei, Zhen
收藏  |  浏览/下载：201/0  |  提交时间：2022/01/27
Cameras  Measurement  Image reconstruction  Data models  Adaptation models  Scalability  Lighting  Feature fusion  generate adversarial nets  person reidentification (Re-ID)  unsupervised learning  
ECBC: Efficient Convolution via Blocked Columnizing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:  Zhao, Tianli;  Hu, Qinghao;  He, Xiangyu;  Xu, Weixiang;  Wang, Jiaxing;  Leng, Cong;  Cheng, Jian
Adobe PDF(3003Kb)  |  收藏  |  浏览/下载：296/33  |  提交时间：2022/01/27
Convolution  Tensors  Layout  Memory management  Indexes  Transforms  Performance evaluation  Convolutional neural networks (CNNs)  direct convolution  high performance computing for mobile devices  im2col convolution  memory-efficient convolution (MEC)  
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Wang, Guanan;  Hu, Qinghao;  Yang, Yang;  Cheng, Jian;  Hou, Zeng-Guang
收藏  |  浏览/下载：209/0  |  提交时间：2022/01/27
Data models  Semantics  Force  Computational modeling  Hash functions  Binary codes  Training data  Adversarial learning (AL)  deep learning  hashing  
Convolutional Ordinal Regression Forest for Image Ordinal Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Zhu, Haiping;  Shan, Hongming;  Zhang, Yuheng;  Che, Lingfu;  Xu, Xiaoyang;  Zhang, Junping;  Shi, Jianbo;  Wang, Fei-Yue
收藏  |  浏览/下载：212/0  |  提交时间：2022/01/27
Decision trees  Estimation  Task analysis  Forestry  Vegetation  Random forests  Support vector machines  Differentiable decision trees  image ordinal estimation  ordinal distribution learning  ordinal regression (OR)  random forest  
KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 5, 页码: 2251-2265
作者:  Zhang, Yongqiang;  Bai, Yancheng;  Ding, Mingli;  Xu, Shibiao;  Ghanem, Bernard
收藏  |  浏览/下载：194/0  |  提交时间：2021/06/15
Feature extraction  Semantics  Object detection  Proposals  Data mining  Visualization  Pedestrian detection  real-world scenarios  small-scale and heavily occluded  superresolution network  
Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 3, 页码: 1389-1399
作者:  Liu, Shenglan;  Sun, Muxin;  Feng, Lin;  Qiao, Hong;  Chen, Shuyuan;  Liu, Yang
收藏  |  浏览/下载：200/0  |  提交时间：2021/04/27
Image retrieval  multigraph fusion  reranking  three degrees of influence