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Xinhong Ma's Projects

adanet icon adanet

Code for Semi-Supervised Learning by Augmented Distribution Alignment

adaptationseg icon adaptationseg

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

awesome-meta-learning icon awesome-meta-learning

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

caffe-model icon caffe-model

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

dalr icon dalr

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

discogan icon discogan

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

discogan-pytorch icon discogan-pytorch

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

dra icon dra

code for the paper deep relative attributes

few-shot icon few-shot

Repository for few-shot learning machine learning projects

gan icon gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

meta-transfer-learning icon meta-transfer-learning

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

meta-weight-net icon meta-weight-net

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

mldg icon 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

multimodal_transfer icon multimodal_transfer

tensorflow implementation of 'Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer'

openset-da icon openset-da

Code for 'Open Set Domain Adaptation by Backpropagation'

pix2pix icon pix2pix

Image-to-image translation with conditional adversarial nets

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