KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Stars: ✭ 63 (-23.17%)
DRCNPytorch implementation of Deep Reconstruction Classification Networks
Stars: ✭ 31 (-62.2%)
Pytorch AddaA PyTorch implementation for Adversarial Discriminative Domain Adaptation
Stars: ✭ 329 (+301.22%)
fusion ganCodes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17
Stars: ✭ 18 (-78.05%)
DA-RetinaNetOfficial 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 (-62.2%)
EanetEANet: Enhancing Alignment for Cross-Domain Person Re-identification
Stars: ✭ 380 (+363.41%)
cmdCentral Moment Discrepancy for Domain-Invariant Representation Learning (ICLR 2017, keras)
Stars: ✭ 53 (-35.37%)
Generalizing ReidRepository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"
Stars: ✭ 28 (-65.85%)
ganslateSimple and extensible GAN image-to-image translation framework. Supports natural and medical images.
Stars: ✭ 17 (-79.27%)
robustnessRobustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
Stars: ✭ 63 (-23.17%)
domain adaptDomain adaptation networks for digit recognitioning
Stars: ✭ 14 (-82.93%)
FixBiFixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation (CVPR 2021)
Stars: ✭ 48 (-41.46%)
Tf DannDomain-Adversarial Neural Network in Tensorflow
Stars: ✭ 556 (+578.05%)
GvbCode of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)
Stars: ✭ 52 (-36.59%)
CADAAttending to Discriminative Certainty for Domain Adaptation
Stars: ✭ 17 (-79.27%)
Mmt[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
Stars: ✭ 345 (+320.73%)
chainer-ADDAAdversarial Discriminative Domain Adaptation in Chainer
Stars: ✭ 24 (-70.73%)
pytorch-dannA PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Stars: ✭ 110 (+34.15%)
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+10242.68%)
lidar transferCode for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
Stars: ✭ 54 (-34.15%)
autodialAutoDIAL Caffe Implementation
Stars: ✭ 28 (-65.85%)
CAC-UNet-DigestPath20191st to MICCAI DigestPath2019 challenge (https://digestpath2019.grand-challenge.org/Home/) on colonoscopy tissue segmentation and classification task. (MICCAI 2019) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm
Stars: ✭ 83 (+1.22%)
AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Stars: ✭ 654 (+697.56%)
weak-supervision-for-NERFramework to learn Named Entity Recognition models without labelled data using weak supervision.
Stars: ✭ 114 (+39.02%)
Dannpytorch implementation of Domain-Adversarial Training of Neural Networks
Stars: ✭ 400 (+387.8%)
domain-adaptation-caplsUnsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Stars: ✭ 43 (-47.56%)
LibtldaLibrary of transfer learners and domain-adaptive classifiers.
Stars: ✭ 71 (-13.41%)
LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
Stars: ✭ 111 (+35.37%)
pytorch-ardaA PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
Stars: ✭ 49 (-40.24%)
Deep Transfer LearningA collection of implementations of deep domain adaptation algorithms
Stars: ✭ 331 (+303.66%)
bert-AADAdversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation
Stars: ✭ 27 (-67.07%)
HatnHierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)
Stars: ✭ 73 (-10.98%)
game-feature-learningCode for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18
Stars: ✭ 68 (-17.07%)
Cross Domain DetectionCross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
Stars: ✭ 320 (+290.24%)
BIFI[ICML 2021] Break-It-Fix-It: Unsupervised Learning for Program Repair
Stars: ✭ 74 (-9.76%)
DomainadaptationRepository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".
Stars: ✭ 27 (-67.07%)
SaladA toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
Stars: ✭ 257 (+213.41%)
VisDA2020VisDA2020: 4th Visual Domain Adaptation Challenge in ECCV'20
Stars: ✭ 53 (-35.37%)
Cross Domain nerCross-domain NER using cross-domain language modeling, code for ACL 2019 paper
Stars: ✭ 67 (-18.29%)
DualStudentCode for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]
Stars: ✭ 106 (+29.27%)
adaptAwesome Domain Adaptation Python Toolbox
Stars: ✭ 46 (-43.9%)
ACANCode for NAACL 2019 paper: Adversarial Category Alignment Network for Cross-domain Sentiment Classification
Stars: ✭ 23 (-71.95%)
PotPOT : Python Optimal Transport
Stars: ✭ 929 (+1032.93%)
SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
Stars: ✭ 46 (-43.9%)
HtcnImplementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)
Stars: ✭ 82 (+0%)
ManMultinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
Stars: ✭ 72 (-12.2%)
SclImplementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"
Stars: ✭ 65 (-20.73%)
Meta-SelfLearningMeta Self-learning for Multi-Source Domain Adaptation: A Benchmark
Stars: ✭ 157 (+91.46%)