684 citations · 838 across the 13 of their papers we have counts for
13 papers
Overcome Anterograde Forgetting with Cycled Memory Networks
Jian Peng, Dingqi Ye, Bo Tang +3
Learning from a sequence of tasks for a lifetime is essential for an agent towards artificial general intelligence. This requires the agent to continuously learn and memorize new k…
Reviewing continual learning from the perspective of human-level intelligence
Yifan Chang, Wenbo Li, Jian Peng +7
Humans' continual learning (CL) ability is closely related to Stability Versus Plasticity Dilemma that describes how humans achieve ongoing learning capacity and preservation for l…
Learning by Active Forgetting for Neural Networks
Jian Peng, Xian Sun, Min Deng +8
Remembering and forgetting mechanisms are two sides of the same coin in a human learning-memory system. Inspired by human brain memory mechanisms, modern machine learning systems h…
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong, Bodi Yuan, Hong Wu +3
We present a novel semi-supervised semantic segmentation method which jointly achieves two desiderata of segmentation model regularities: the label-space consistency property betwe…
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Jie Chen, Ziyang Yuan, Jian Peng +5
Change detection is a basic task of remote sensing image processing. The research objective is to identity the change information of interest and filter out the irrelevant change i…
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Jie Chen, Haozhe Huang, Jian Peng +5
Remote sensing image scene classification is a fundamental but challenging task in understanding remote sensing images. Recently, deep learning-based methods, especially convolutio…
SMAPGAN: Generative Adversarial Network Based Semi-Supervised Styled Map Tiles Generating Method
X. Chen, S. Chen, T. Xu +4
Traditional online map tiles, widely used on the Internet such as Google Map and Baidu Map, are rendered from vector data. Timely updating online map tiles from vector data, of whi…
Understanding the Importance of Single Directions via Representative Substitution
Li Chen, Hailun Ding, Qi Li +3
Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior. The interpretation of individual units, which are neurons in MLPs or…
Understanding the Importance of Single Directions via Representative Substitution
Li Chen, Hailun Ding, Qi Li +3
Understanding the internal representations of deep neural networks (DNNs) is crucal to explain their behavior. The interpretation of individual units, which are neurons in MLPs or…
On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition
Jie Chen, Chao Yuan, Min Deng +3
Human vision possesses strong invariance in image recognition. The cognitive capability of deep convolutional neural network (DCNN) is close to the human visual level because of hi…
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?
Haifeng Li, Jian Peng, Chao Tao +2
Recently, deep convolutional neural network (DCNN) achieved increasingly remarkable success and rapidly developed in the field of natural image recognition. Compared with the natur…
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource Data
Haifeng Li, Xin Dou, Chao Tao +5
In recent years, deep convolutional neural network (DCNN) has seen a breakthrough progress in natural image recognition because of three points: universal approximation ability via…
Queue Theory based Response Time Analyses for Geo-Information Processing Chain
Jie Chen, Jian Peng, Min Deng +2
Typical characteristics of remote sensing applications are concurrent tasks, such as those found in disaster rapid response. The existing composition approach to geographical infor…