GitPlanet

Cheap and reliable Node.js hosting starts at $3/month, and $1/month static HTML hosting

Created with love in Canada, visit hostnodejs.com today

Feel like to post an Ad? Learn Details
All Projects → ustcnewly → traditional-domain-adaptation-methods

ustcnewly / traditional-domain-adaptation-methods

Licence: other
traditional domain adaptation methods (e.g., GFK, TCA, SA)

Programming Languages

C++
36643 projects - #6 most used programming language
HTML
75241 projects
java
68154 projects - #9 most used programming language
c
50402 projects - #5 most used programming language
M4
1887 projects
python
139335 projects - #7 most used programming language

Labels

domain-adaptation

Projects that are alternatives of or similar to traditional-domain-adaptation-methods

DualStudent
Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Stars: ✭ 106 (+125.53%)
Mutual labels:  domain-adaptation
game-feature-learning
Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
Stars: ✭ 68 (+44.68%)
Mutual labels:  domain-adaptation
pytorch-arda
A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
Stars: ✭ 49 (+4.26%)
Mutual labels:  domain-adaptation
VisDA2020
VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20
Stars: ✭ 53 (+12.77%)
Mutual labels:  domain-adaptation
BIFI
[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair
Stars: ✭ 74 (+57.45%)
Mutual labels:  domain-adaptation
bert-AAD
Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation
Stars: ✭ 27 (-42.55%)
Mutual labels:  domain-adaptation
ACAN
Code for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
Stars: ✭ 23 (-51.06%)
Mutual labels:  domain-adaptation
KD3A
Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Stars: ✭ 63 (+34.04%)
Mutual labels:  domain-adaptation
transfer-learning-algorithms
Implementation of many transfer learning algorithms in Python with Jupyter notebooks
Stars: ✭ 42 (-10.64%)
Mutual labels:  domain-adaptation
cmd
Central Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
Stars: ✭ 53 (+12.77%)
Mutual labels:  domain-adaptation
pytorch-dann
A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Stars: ✭ 110 (+134.04%)
Mutual labels:  domain-adaptation
ganslate
Simple and extensible GAN image-to-image translation framework. Supports natural and medical images.
Stars: ✭ 17 (-63.83%)
Mutual labels:  domain-adaptation
chainer-ADDA
Adversarial Discriminative Domain Adaptation in Chainer
Stars: ✭ 24 (-48.94%)
Mutual labels:  domain-adaptation
DA-RetinaNet
Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Stars: ✭ 31 (-34.04%)
Mutual labels:  domain-adaptation
CADA
Attending to Discriminative Certainty for Domain Adaptation
Stars: ✭ 17 (-63.83%)
Mutual labels:  domain-adaptation
pytorch-domain-adaptation
Unofficial pytorch implementation of algorithms for domain adaptation
Stars: ✭ 24 (-48.94%)
Mutual labels:  domain-adaptation
DRCN
Pytorch implementation of Deep Reconstruction Classification Networks
Stars: ✭ 31 (-34.04%)
Mutual labels:  domain-adaptation
domain-adaptation-capls
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Stars: ✭ 43 (-8.51%)
Mutual labels:  domain-adaptation
LoveDA
[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Stars: ✭ 111 (+136.17%)
Mutual labels:  domain-adaptation
DomainAdaptation
Domain Adaptation
Stars: ✭ 20 (-57.45%)
Mutual labels:  domain-adaptation
View All Similar Projects ➔

This repository contains the source code of the following traditional domain adaptation methods: DASVM, DIP, GFK, KMM, SA, SGF, STM, TCA, and RDALR. Their corresponding paper titles are as follows,

  1. DASVM: Domain adaptation problems: A DASVM classification technique and a circular validation strategy

  2. DIP: Unsupervised domain adaptation by domain invariant projection

  3. GFK: Geodesic flow kernel for unsupervised domain adaptation

  4. KMM: Correcting sample selection bias by unlabeled data

  5. SA: Unsupervised visual domain adaptation using subspace alignment

  6. SGF: Domain adaptation for object recognition: An unsupervised approach

  7. STM: Selective transfer machine for personalized facial action unit detection

  8. TCA: Domain adaptation via transfer component analysis

  9. RDALR: Robust visual domain adaptation with low-rank reconstruction

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].