1 citations · 1 across the 2 of their papers we have counts for
6 papers
TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning
Chao Tao, Ji Qia, Guo Zhang +3
Do we on the right way for remote sensing image understanding (RSIU) by training models via supervised data-dependent and task-dependent way, instead of human vision in a label-fre…
Curvature Graph Neural Network
Haifeng Li, Jun Cao, Jiawei Zhu +3
Graph neural networks (GNNs) have achieved great success in many graph-based tasks. Much work is dedicated to empowering GNNs with the adaptive locality ability, which enables meas…
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks
Haifeng Li, Jun Cao, Jiawei Zhu +2
One of the key problems of GNNs is how to describe the importance of neighbor nodes in the aggregation process for learning node representations. A class of GNNs solves this proble…
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Jian Peng, Jiang Hao, Zhuo Li +5
Catastrophic forgetting is a challenge issue in continual learning when a deep neural network forgets the knowledge acquired from the former task after learning on subsequent tasks…
Learning to Measure Change: Fully Convolutional Siamese Metric Networks for Scene Change Detection
Enqiang Guo, Xinsha Fu, Jiawei Zhu +4
A critical challenge problem of scene change detection is that noisy changes generated by varying illumination, shadows and camera viewpoint make variances of a scene difficult to…
Measuring Road Network Topology Vulnerability by Ricci Curvature
Lei Gao, Xingquan Liu, Yu Liu +4
Describing the basic properties of road network systems, such as their robustness, vulnerability, and reliability, has been a very important research topic in the field of urban tr…