zayan2009 Goto Github PK

2020-domain-adaptation-volume-estimation

Estimating Unobserved Link Volumes by Domain Adaptation

aaai2020-rfmetafas

Codes for Regularized Fine-grained Meta Face Anti-spoofing in AAAI 2020

acmmm2018-hadda

adage

Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"

atda

Improving the Generalization of Adversarial Training with Domain Adaptation

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

casia-surf_cefa

Face Anti-spoofing Attack Detection Challenge@CVPR2020

child_asr_paper

A list of papers for child ASR

contrastive-adaptation-network-for-unsupervised-domain-adaptation

pytorch implementation for Contrastive Adaptation Network

ctc_pytorch

CTC end -to-end ASR for timit and 863 corpus.

cvpr19-face-anti-spoofing

Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019

cvpr2019-maddog

Codes for Multi-adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection

da

Unsupervised Domain Adaptation Papers and Code

dada-aaai2020

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).

day-to-night-unsupervised-domain-adaptation

Day to Night Unsupervised Domain Adaptation using Image-to-Image Translation for Object Detection-2020

domain-generalization

All about domain generalization

domaingeneralizationmarginal

drmea

Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).

episodic-dg

This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113

episodic_training_domain_generalization

My implantation of paper "Episodic Training for Domain Generalization"

gmm-adaptation

Quasi-Bayesian Adaptation and MLLR Adaptation

icassp2019

Papers in ICASSP 2019

icassp2020

Papers in ICASSP 2020

interspeech2019

Papers in INTERSPEECH 2019

jigendg

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

kaggle-competition-solutions

Kaggle competition solutions

m-adda

Domain Adaptation Based on the Triplet Loss

meta-learning-papers

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

meta-learning-without-memorization

Identify a meta generalization problem, when task distribution is non-mutually-exclusive. Provide a solution to expand the domains that meta-learning can be effectively applied to. (ICLR 2020)

mixup_for_uda

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).