Yanbin Liu

TPN. Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

TPN-pytorch. Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

SCOT. CVPR 2020, Semantic Correspondence as an Optimal Transport Problem, Pytorch Implementation.

Few-shot-Meta-learning-papers. Recent few-shot meta-learning papers

3D-Medical-Generative-Survey.

LSMI-Sinkhorn. Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"

tri-M-ICCV. A multi-mode modulator for multi-domain few-shot classification (ICCV)

DiffNCuts. This is the implementation of our ECCV 2024 paper "Unsupervised Dense Prediction using Differentiable Normalized Cuts" by Yanbin Liu and Stephen Gould.

Semi-supervised_Neural_Network. forked from https://github.com/jibancanyang/Semi-supervised_Neural_Network

NewMachineConfig. Usually used cmds for new machine configurations

MAML-Pytorch-Multi-GPUs. Python

prototypical-network-pytorch-1. A re-implementation of "Prototypical Networks for Few-shot Learning"