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20182025
most citedGlobal and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

176 citations · 429 across the 12 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.LG2021★ 3 cited

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…

cs.LG2021★ 1 cited

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…

cs.LG2021

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…

cs.CV2021★ 176 cited

Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

Haifeng Li, Yi Li, Guo Zhang +4

Supervised learning for semantic segmentation requires a large number of labeled samples, which is difficult to obtain in the field of remote sensing. Self-supervised learning (SSL…

cs.LG2021★ 1 cited

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…