Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR'22 Oral & TPAMI'23).

Official PyTorch Implementation of Hypercorrelation Squeeze for Few-Shot Segmentation, ICCV 2021

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

Official Implementation of VAT

[CVPR'22] Official PyTorch implementation of Integrative Few-Shot Learning for Classification and Segmentation

1-shot image segmentation using Stable Diffusion

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)

[AAAI 2021] (oral) Progressive One-shot Human Parsing, [TPAMI 2023] End-to-end One-shot Human Parsing

[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

Official PyTorch Implementation of DIaM in "A Strong Baseline for Generalized Few-Shot Semantic Segmentation" (CVPR 2023)

Official Pytorch implementation of Multi-Similarity and Attention Guidence for Boosting Few-Shot Segmentation.

Official PyTorch Implementation of Cross-Domain Few-Shot Semantic Segmentation, ECCV 2022

Awesome Few-shot learning

PyTorch implementation of paper "Feature-Proxy Transformer for Few-Shot Segmentation" (NeurIPS'22 Spotlight)

This is the official repo for Dynamic Extension Nets for Few-shot Semantic Segmentation (ACM Multimedia 20).

FEWSAM Few-shot Segmentation tool based on Segment Anything

Official PyTorch Implementation of Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation (IJCAI'22 Long Oral & IJCV'23).

Official PyTorch Implementation of Holistic Prototype Activation for Few-Shot Segmentation (TPAMI'22).

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

A codebase for few-shot segmentation research