6 papers · 1 filter
STARS: Shared-specific Translation and Alignment for missing-modality Remote Sensing Semantic Segmentation
Tong Wang, Xiaodong Zhang, Guanzhou Chen +7
Multimodal remote sensing technology significantly enhances the understanding of surface semantics by integrating heterogeneous data such as optical images, Synthetic Aperture Rada…
MSSDF: Modality-Shared Self-supervised Distillation for High-Resolution Multi-modal Remote Sensing Image Learning
Tong Wang, Guanzhou Chen, Xiaodong Zhang +6
Remote sensing image interpretation plays a critical role in environmental monitoring, urban planning, and disaster assessment. However, acquiring high-quality labeled data is ofte…
Active Learning via Vision-Language Model Adaptation with Open Data
Tong Wang, Jiaqi Wang, Shu Kong
Pretrained on web-scale open data, VLMs offer powerful capabilities for solving downstream tasks after being adapted to task-specific labeled data. Yet, data labeling can be expens…
BFA-YOLO: A balanced multiscale object detection network for building façade attachments detection
Yangguang Chen, Tong Wang, Guanzhou Chen +7
The detection of façade elements on buildings, such as doors, windows, balconies, air conditioning units, billboards, and glass curtain walls, is a critical step in automating the…
S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar Imagery
Qingyuan Yang, Guanzhou Chen, Xiaoliang Tan +3
Stereo matching and semantic segmentation are significant tasks in binocular satellite 3D reconstruction. However, previous studies primarily view these as independent parallel tas…
LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing
Tong Wang, Guanzhou Chen, Xiaodong Zhang +5
Despite the rapid evolution of semantic segmentation for land cover classification in high-resolution remote sensing imagery, integrating multiple data modalities such as Digital S…