Mmt[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
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lidar transferCode for Langer et al. "Domain Transfer for Semantic Segmentation of LiDAR Data using Deep Neural Networks", IROS, 2020.
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Tf DannDomain-Adversarial Neural Network in Tensorflow
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HtcnImplementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)
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Iros20 6d Pose Tracking[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
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domain adaptDomain adaptation networks for digit recognitioning
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GvbCode of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)
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CADAAttending to Discriminative Certainty for Domain Adaptation
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Ddc Transfer LearningA simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance
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EanetEANet: Enhancing Alignment for Cross-Domain Person Re-identification
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Monoculardepth InferenceInference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://www.atapour.co.uk/papers/CVPR2018.pdf).
Stars: ✭ 115 (-20.14%)
Pytorch AddaA PyTorch implementation for Adversarial Discriminative Domain Adaptation
Stars: ✭ 329 (+128.47%)
ManMultinomial Adversarial Networks for Multi-Domain Text Classification (NAACL 2018)
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robustnessRobustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
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Neuraldialog ZsdgPyTorch codebase for zero-shot dialog generation SIGDIAL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
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Meta-SelfLearningMeta Self-learning for Multi-Source Domain Adaptation: A Benchmark
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SclImplementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"
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fusion ganCodes for the paper 'Learning to Fuse Music Genres with Generative Adversarial Dual Learning' ICDM 17
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Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
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KD3AHere is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Stars: ✭ 63 (-56.25%)
Generalizing ReidRepository of the paper "Generalizing Person Re-Identification by Camera-Aware Instance Learning and Cross-Domain Mixup"
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PotPOT : Python Optimal Transport
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pytorch-ardaA PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
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SeanetSelf-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation
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AdaptsegnetLearning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
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Generate to adaptImplementation of "Generate To Adapt: Aligning Domains using Generative Adversarial Networks"
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Dannpytorch implementation of Domain-Adversarial Training of Neural Networks
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Imagenet RImageNet-R(endition) and DeepAugment
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Shotcode released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
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Deep Transfer LearningA collection of implementations of deep domain adaptation algorithms
Stars: ✭ 331 (+129.86%)
HatnHierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)
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Cross Domain DetectionCross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].
Stars: ✭ 320 (+122.22%)
SaladA toolbox for domain adaptation and semi-supervised learning. Contributions welcome.
Stars: ✭ 257 (+78.47%)
LibtldaLibrary of transfer learners and domain-adaptive classifiers.
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adaptAwesome Domain Adaptation Python Toolbox
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SHOT-pluscode for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"
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Cross Domain nerCross-domain NER using cross-domain language modeling, code for ACL 2019 paper
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autodialAutoDIAL Caffe Implementation
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weak-supervision-for-NERFramework to learn Named Entity Recognition models without labelled data using weak supervision.
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domain-adaptation-caplsUnsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
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LoveDA[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
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Detectron Self TrainA PyTorch Detectron codebase for domain adaptation of object detectors.
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DomainadaptationRepository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".
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Cdcl Human Part SegmentationRepository for Paper: Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation (TCSVT20)
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MfrLearning Meta Face Recognition in Unseen Domains, CVPR, Oral, 2020
Stars: ✭ 127 (-11.81%)
Awesome Transfer LearningBest transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
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TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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