SOTAVerified

Domain Adaptation

Domain Adaptation is the task of adapting models across domains. This is motivated by the challenge where the test and training datasets fall from different data distributions due to some factor. Domain adaptation aims to build machine learning models that can be generalized into a target domain and dealing with the discrepancy across domain distributions.

Further readings:

( Image credit: Unsupervised Image-to-Image Translation Networks )

Papers

Showing 51015150 of 6439 papers

TitleStatusHype
Temporal Attentive Alignment for Large-Scale Video Domain AdaptationCode1
Open Set Domain Adaptation for Image and Action RecognitionCode0
Artistic Domain Generalisation Methods are Limited by their Deep Representations0
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation0
Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic SegmentationCode0
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets0
Unsupervised Domain Adaptation via Calibrating UncertaintiesCode0
Self-supervised Domain Adaptation for Computer Vision TasksCode0
Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking0
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation0
Discriminative Consistent Domain Generation for Semi-supervised Learning0
Curriculum based Dropout Discriminator for Domain AdaptationCode0
Multi-adversarial Faster-RCNN for Unrestricted Object DetectionCode0
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition0
Multimodal Age and Gender Classification Using Ear and Profile Face ImagesCode0
Universal Person Re-Identification0
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information0
Open Set Domain Adaptation: Theoretical Bound and AlgorithmCode0
Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence0
Remaining Useful Lifetime Prediction via Deep Domain Adaptation0
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach0
Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task0
Cross-Domain Complementary Learning Using Pose for Multi-Person Part SegmentationCode0
Agile Domain Adaptation0
Predicting engagement in online social networks: Challenges and opportunities0
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection0
Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-SpoofingCode0
NTT's Machine Translation Systems for WMT19 Robustness Task0
Learning to Optimize Domain Specific Normalization for Domain Generalization0
Blending-target Domain Adaptation by Adversarial Meta-Adaptation NetworksCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation0
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment0
Low-Rank Subspace Override for Unsupervised Domain AdaptationCode0
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition0
De l'extraction des interactions m\'edicament-m\'edicament vers les interactions aliment-m\'edicament \`a partir de textes biom\'edicaux: Adaptation de domaine (From the extraction of drug-drug interactions to the food-drug interactions in biomedical texts : domain adaptation)0
Adversarial Domain Adaptation Using Artificial Titles for Abstractive Title Generation0
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain AdaptationCode0
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks0
English-Indonesian Neural Machine Translation for Spoken Language Domains0
Semi-supervised Domain Adaptation for Dependency ParsingCode0
Neural Temporality Adaptation for Document Classification: Diachronic Word Embeddings and Domain Adaptation ModelsCode0
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction0
Cross-Domain NER using Cross-Domain Language ModelingCode0
Reinforced Training Data Selection for Domain Adaptation0
PKUSEG: A Toolkit for Multi-Domain Chinese Word SegmentationCode0
Boundary and Entropy-driven Adversarial Learning for Fundus Image SegmentationCode0
DASGAN -- Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images0
Decomposable Neural Paraphrase Generation0
Transfer of Machine Learning Fairness across Domains0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96Unverified
2PMTransAverage Accuracy95.3Unverified
3CMKDAverage Accuracy94.4Unverified
4SSRT-B (ours)Average Accuracy93.5Unverified
5CDTransAverage Accuracy92.6Unverified
6CoViAverage Accuracy91.8Unverified
7GSDEAverage Accuracy91.7Unverified
8FixBiAverage Accuracy91.4Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6Unverified
10BIWAAAverage Accuracy90.5Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1Unverified
2ILM-ASSLmIoU76.6Unverified
3DCFmIoU69.3Unverified
4HRDA+PiPamIoU68.2Unverified
5MICmIoU67.3Unverified
6FREDOM - TransformermIoU67Unverified
7HRDAmIoU65.8Unverified
8SePiComIoU64.3Unverified
9MIC + Guidance TrainingmIoU63.8Unverified
10DAFormer + ProCSTmIoU61.6Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8Unverified
2DCFmIoU77.7Unverified
3ILM-ASSLmIoU76.1Unverified
4MICmIoU75.9Unverified
5HRDA+PiPamIoU75.6Unverified
6HRDAmIoU73.8Unverified
7FREDOM - TransformermIoU73.6Unverified
8HALOmIoU73.3Unverified
9SePiComIoU70.3Unverified
10DAFormer + ProCSTmIoU69.4Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3Unverified
2RCLAccuracy90Unverified
3PGA (ViT-L/14)Accuracy89.4Unverified
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
6MICAccuracy86.2Unverified
7PGA (ViT-B/16)Accuracy85.1Unverified
8ELSAccuracy84.6Unverified
9SDAT (ViT-B/16)Accuracy84.3Unverified
10CDTrans (DeiT-B)Accuracy80.5Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8Unverified
2RCLAccuracy93.2Unverified
3MICAccuracy92.8Unverified
4SWGAccuracy92.7Unverified
5CMKDAccuracy91.8Unverified
6DePTAccuracy90.7Unverified
7SDAT(ViT)Accuracy89.8Unverified
8SFDA2++Accuracy89.6Unverified
9PMtransAccuracy88.8Unverified
10CoViAccuracy88.5Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3Unverified
2MCC+NWDAccuracy90.7Unverified
3GLOT-DRAccuracy90.4Unverified
4SPLAccuracy90.3Unverified
5DFA-SAFNAccuracy90.2Unverified
6DADAAccuracy89.3Unverified
7DFA-ENTAccuracy89.1Unverified
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
10IAFN+ENTAccuracy88.9Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8Unverified
2ReinmIoU77.6Unverified
3CoDAmIoU72.6Unverified
4Refign (HRDA)mIoU72.1Unverified
5HALOmIoU71.9Unverified
6MICmIoU70.4Unverified
7HRDAmIoU68Unverified
8Refign (DAFormer)mIoU65.5Unverified
9VBLC (DAFormer)mIoU64.2Unverified
10CMFormermIoU60.1Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8Unverified
2FAMCDAccuracy98.72Unverified
3DFA-MCDAccuracy98.6Unverified
4Mean teacherAccuracy98.26Unverified
5DRANetAccuracy98.2Unverified
6SHOTAccuracy98Unverified
7DFA-ENTAccuracy97.9Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1Unverified