MS-AGAN: Road Extraction via Multi-Scale Information Fusion and Asymmetric Generative Adversarial Networks from High-Resolution Remote Sensing Images under …
Extracting roads from remote sensing images is of significant importance for automatic road
network updating, urban planning, and construction. However, various factors in complex …
network updating, urban planning, and construction. However, various factors in complex …
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
Causal-based supervision of attention in graph neural network: a better and simpler choice towards powerful attention
Recent years have witnessed the great potential of attention mechanism in graph
representation learning. However, while variants of attention-based GNNs are setting new …
representation learning. However, while variants of attention-based GNNs are setting new …
Continual Traffic Forecasting via Mixture of Experts
S Lee, C Park - arXiv preprint arXiv:2406.03140, 2024 - arxiv.org
The real-world traffic networks undergo expansion through the installation of new sensors,
implying that the traffic patterns continually evolve over time. Incrementally training a model …
implying that the traffic patterns continually evolve over time. Incrementally training a model …
Road extraction by using asymmetrical GAN framework and structural similarity loss
X Yao, S Lin, X Liu, Z Liu, X Zhi - Proceedings of the 16th ACM …, 2023 - dl.acm.org
Road extraction from remote sensing images is essential for autonomous driving, traffic
management, and map updating. Nevertheless, the result of road extraction might become …
management, and map updating. Nevertheless, the result of road extraction might become …