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Found 5 papers, 4 papers with code
Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives
Vision-language modeling (VLM) aims to bridge the information gap between images and natural language.
Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
Unlike most methods that include all points in pseudo-labeled scenes for forward propagation but only pseudo-labeled points for backpropagation, AIScene removes points without pseudo-labels, ensuring consistency in both forward and backward propagation within the scene.
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis
VHM is built on a large-scale remote sensing image-text dataset with rich-content captions (VersaD), and an honest instruction dataset comprising both factual and deceptive questions (HnstD).
HiCD: Change Detection in Quality-Varied Images via Hierarchical Correlation Distillation
This ensures effective knowledge transfer while maintaining the student model's training flexibility.
DAM-Net: Global Flood Detection from SAR Imagery Using Differential Attention Metric-Based Vision Transformers
The detection of flooded areas using high-resolution synthetic aperture radar (SAR) imagery is a critical task with applications in crisis and disaster management, as well as environmental resource planning.
