Abstract: To increase security for devices connected to the internet, research has gone into using Graph Neural Networks (GNNs) to inhibit the spread of malware through detection. GNN classifiers that ...
Abstract: Prevalent semantic segmentation methods generally adopt a vanilla classifier to categorize each pixel into specific classes. Although such a classifier learns global information from the ...
Jan. 19, 2026 A nearby active galaxy called VV 340a offers a dramatic look at how a supermassive black hole can reshape its entire host. Astronomers observed a relatively weak but restless jet ...
Exemplar-Free Class-Incremental Learning (EFCIL) aims to sequentially learn from distinct categories without retaining exemplars but easily suffers from catastrophic forgetting of learned knowledge.
├── src/ │ ├── data_loader.py # Load images and parse filenames │ ├── landmark_extractor.py # MediaPipe hand landmark extraction │ ├── preprocessor.py # Data cleaning and train/test split │ ├── knn.py ...
For what purpose was the dataset created? Was there a specific task in mind? Was there a specific gap that needed to be filled? Please provide a description. The ...