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02/15/2023
Offline-to-Online Knowledge Distillation for Video Instance Segmentation
In this paper, we present offline-to-online knowledge distillation (OOKD...
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03/26/2022
Metropolis-Hastings Data Augmentation for Graph Neural Networks
Graph Neural Networks (GNNs) often suffer from weak-generalization due t...
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03/14/2022
ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation
In this paper, we present a direct adaptation strategy (ADAS), which aim...
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06/11/2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs
Graph Neural Networks (GNNs) have been widely applied to various fields ...
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03/24/2021