MGSGNet-S*: Multilayer Guided Semantic Graph Network via Knowledge Distillation for RGB-Thermal Urban Scene Parsing

W Zhou, H Wu, Q Jiang - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Owing to rapid developments in driverless technologies, vision tasks for unmanned vehicles
have gained considerable attention, particularly in multimodal-based urban scene parsing …

Red-Teaming Segment Anything Model

K Jankowski, B Sobieski… - Proceedings of the …, 2024 - openaccess.thecvf.com
Foundation models have emerged as pivotal tools tackling many complex tasks through pre-
training on vast datasets and subsequent fine-tuning for specific applications. The Segment …

Real-Time Semantic Segmentation in Natural Environments with SAM-assisted Sim-to-Real Domain Transfer

H Wang, R Mascaro, M Chli… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
Semantic segmentation plays a pivotal role in many robotic applications requiring high-level
scene understanding, such as smart farming, where the precise identification of trees or …

SensingAgent: Advancing Vehicular Sensing Systems for Spatiotemporal Cognitive Intelligence

Y Liu, Y Wang, Y Li, C Dai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The development of intelligent sensors has garnered widespread attention in autonomous
driving. Although they have made significant progress, current vehicular sensing systems …

A Domain-Adaptive Segmentation Method Based on Segment Anything Model for Mechanical Assembly

J Wang, C Chen, C Dai, J Hong - Measurement, 2024 - Elsevier
Semantic segmentation of assembly images can effectively identify and prevent non-
standard behaviors such as wrong assembly and missing assembly in the assembly …

SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation

W Yan, Y Qian, Y Li, T Li, C Wang, M Yang - arXiv preprint arXiv …, 2024 - arxiv.org
Semantic segmentation plays an important role in intelligent vehicles, providing pixel-level
semantic information about the environment. However, the labeling budget is expensive and …

In Defense of Multimodal and Temporal Data for Unsupervised Domain Adaptation

FM Barbosa, FS Osório - 2024 Latin American Robotics …, 2024 - ieeexplore.ieee.org
In the presence of a Domain Shift, pretrained models tend to deliver degraded performance.
This poses a major challenge in tasks such as visual perception in urban environments for …