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Found 9 papers, 3 papers with code
Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability
Here, we explore the application of an open-source pre-trained NN model, GlassNet, that can predict the characteristic temperatures necessary to compute glass stability (GS) and assess the feasibility of using these physics-informed ML (PIML)-predicted GS parameters to estimate GFA.
Resilience-Assuring Hydrogen-Powered Microgrids
Green hydrogen has shown great potential to power microgrids as a primary source, yet the operation methodology under extreme events is still an open area.
Viewpoint Integration and Registration with Vision Language Foundation Model for Image Change Understanding
Therefore, they cannot be directly applied to cope with image change understanding (ICU), which requires models to capture actual changes between multiple images and describe them in language.
RSGPT: A Remote Sensing Vision Language Model and Benchmark
This dataset consists of human-annotated captions and visual question-answer pairs, allowing for a comprehensive assessment of VLMs in the context of RS.
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Few-shot object detection, expecting detectors to detect novel classes with a few instances, has made conspicuous progress.
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes
With prototype-to-point globalization (Pr2PoG), the global perception is embedded to local point features based on similarity weights from sparse prototypes to dense point features.
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification
With receptive field fusion-and-stratification, RFFS-Net is more adaptable to the classification of regions with complex structures and extreme scale variations in large-scale ALS point clouds.
Sparse and Safe Frequency Regulation for Inverter Intensive Microgrids
This paper developed a novel control approach for the sparse and safe frequency regulation for inverter intensive microgrids (MGs).
Semantic Segmentation for Point Cloud Scenes via Dilated Graph Feature Aggregation and Pyramid Decoders
Due to the unicity of receptive field, semantic segmentation of point clouds remains challenging for the expression of multi-receptive field features, which brings about the misclassification of instances with similar spatial structures.
