Pinned Repositories
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)
cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
few-shot
Repository for few-shot learning machine learning projects
stefanxinhong's Repositories
stefanxinhong/few-shot
Repository for few-shot learning machine learning projects
stefanxinhong/adanet
Code for Semi-Supervised Learning by Augmented Distribution Alignment
stefanxinhong/AdaptationSeg
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
stefanxinhong/awesome-domain-adaptation
A collection of AWESOME things about domain adaptation
stefanxinhong/Awesome-ICCV2019
ICCV2019最新录用情况
stefanxinhong/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
stefanxinhong/awesome-self-supervised-learning
A curated list of awesome self-supervised methods
stefanxinhong/caffe-model
Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks
stefanxinhong/Calibrated-Multiple-Uncertainties
Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)
stefanxinhong/DALR
Implementation of "Domain-adaptive deep network compression", ICCV 2017
stefanxinhong/Domain-generalization
All about domain generalization
stefanxinhong/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
stefanxinhong/meta-transfer-learning
TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)
stefanxinhong/meta-weight-net
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
stefanxinhong/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
stefanxinhong/noah-research
Noah Research
stefanxinhong/open-set-da
Open set domain adaptation
stefanxinhong/OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
stefanxinhong/openset-DA
Code for 'Open Set Domain Adaptation by Backpropagation'
stefanxinhong/pytorch-domain-adaptation
An unofficial pytorch implementation of algorithms for domain adaptation
stefanxinhong/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
stefanxinhong/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
stefanxinhong/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
stefanxinhong/stefanxinhong.github.io
stefan的个人主页
stefanxinhong/TesNet
stefanxinhong/tf-dann
Domain-Adversarial Neural Network in Tensorflow
stefanxinhong/TRACE
TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models
stefanxinhong/vqa-mfb
stefanxinhong/vqa.pytorch
Visual Question Answering in Pytorch
stefanxinhong/zero-shot-gcn
Zero-Shot Learning with GCN (CVPR 2018)