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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：188/0  |  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：321/78  |  提交时间：2022/01/27
video question answering  attention mechanism  metric learning  
Weakly Aligned Feature Fusion for Multimodal Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:  Zhang, Lu;  Liu, Zhiyong;  Zhu, Xiangyu;  Song, Zhan;  Yang, Xu;  Lei, Zhen;  Qiao, Hong
收藏  |  浏览/下载：206/0  |  提交时间：2022/01/27
Object detection  Feature extraction  Detectors  Robustness  Cameras  Automation  Training  Deep learning  feature fusion  multimodal object detection  pedestrian detection  
Antidecay LSTM for Siamese Tracking With Adversarial Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4475-4489
作者:  Zhao, Fei;  Zhang, Ting;  Wu, Yi;  Tang, Ming;  Wang, Jinqiao
收藏  |  浏览/下载：235/0  |  提交时间：2021/12/28
Target tracking  Feature extraction  Computer architecture  Visualization  Training  Task analysis  Adversarial learning  deep learning  long short-term memory (LSTM)  visual tracking  
Incremental Concept Learning via Online Generative Memory Recall 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3206-3216
作者:  Li, Huaiyu;  Dong, Weiming;  Hu, Bao-Gang
收藏  |  浏览/下载：284/0  |  提交时间：2021/08/15
Task analysis  Learning systems  Neural networks  Feature extraction  Visualization  Knowledge engineering  Training  Catastrophic forgetting  continual learning  generative adversarial networks (GANs)  
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：190/0  |  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