stefanxinhong

few-shot

Repository for few-shot learning machine learning projects

adanet

Code for Semi-Supervised Learning by Augmented Distribution Alignment

AdaptationSeg

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

awesome-domain-adaptation

A collection of AWESOME things about domain adaptation

Awesome-ICCV2019

ICCV2019最新录用情况

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

caffe-model

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

Calibrated-Multiple-Uncertainties

Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

DALR

Implementation of "Domain-adaptive deep network compression", ICCV 2017

Domain-generalization

All about domain generalization

Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

meta-transfer-learning

TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

MLDG

The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf

noah-research

Noah Research

open-set-da

Open set domain adaptation

OpenLongTailRecognition-OLTR

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

openset-DA

Code for 'Open Set Domain Adaptation by Backpropagation'

pytorch-domain-adaptation

An unofficial pytorch implementation of algorithms for domain adaptation

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

stefanxinhong.github.io

stefan的个人主页

TesNet

tf-dann

Domain-Adversarial Neural Network in Tensorflow

TRACE

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

vqa-mfb

vqa.pytorch

Visual Question Answering in Pytorch

zero-shot-gcn

Zero-Shot Learning with GCN (CVPR 2018)