IEEE

Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning

Abstract: Few-shot class incremental learning implies the model to learn new classes while retaining knowledge of previously learned classes with a small number of training instances. Existing ...
GitHub

Learnable Prompt for Few-Shot Semantic Segmentation

This repo contains the official code for the paper Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain for the "OpenEarthMap Land Cover Mapping Few-Shot Challenge" ...
IEEE

Few-Shot Hyperspectral Image Classification With Self-Supervised Learning

Abstract: Recently, few-shot learning (FSL) has been introduced for hyperspectral image (HSI) classification with few labeled samples. However, existing FSL-based HSI classification methods mainly ...
GitHub

Decomp-Parsing-Service is a Python module that transforms abstract static analysis results into intermediate representations that can be used to suggest a decomposition of a ...

The Parsing Service interacts with the static analysis tools that generate abstract representations in the form of TypeData, methodData and invocationData. This service transforms these results into ...