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Overcoming catastrophic forgetting with hard attention to the task

SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation

Prototype Mixture Models for Few-shot Semantic Segmentation

FSS-1000, A 1000-class Dataset For Few-shot Segmentation

Few Shot Semantic Segmentation Papers

The official repository (in PyTorch) for the ECCV 2020 paper "Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference".

Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Code for the paper "Incremental Learning Techniques for Semantic Segmentation", Michieli U. and Zanuttigh P., ICCVW, 2019

Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019

A PyTorch Library for Meta-learning Research

Code for our ICCV 2019 paper PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

Probabilistic Modeling Toolkit for Matlab/Octave.