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 58015850 of 6439 papers

TitleStatusHype
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading ComprehensionCode0
Multi-adversarial Faster-RCNN for Unrestricted Object DetectionCode0
ACDC: Online Unsupervised Cross-Domain AdaptationCode0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
Wasserstein Distance Guided Representation Learning for Domain AdaptationCode0
Attention-based Domain Adaptation Forecasting of Streamflow in Data-Sparse RegionsCode0
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object DetectorsCode0
A General Framework for Abstention Under Label ShiftCode0
Multichannel Semantic Segmentation with Unsupervised Domain AdaptationCode0
Selective Partial Domain AdaptationCode0
Attending to Discriminative Certainty for Domain AdaptationCode0
Zero-shot Learning of Drug Response Prediction for Preclinical Drug ScreeningCode0
The balancing principle for parameter choice in distance-regularized domain adaptationCode0
SelectNAdapt: Support Set Selection for Few-Shot Domain AdaptationCode0
Multi-Domain Adaptation in Neural Machine Translation Through Multidimensional TaggingCode0
Deep Learning based Intelligent Coin-tap Test for Defect RecognitionCode0
ATL: Autonomous Knowledge Transfer from Many Streaming ProcessesCode0
Multi-Domain Adversarial LearningCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Unified State Representation Learning under Data AugmentationCode0
FogGuard: guarding YOLO against fog using perceptual lossCode0
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric EstimationCode0
Multidomain Pretrained Language Models for Green NLPCode0
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser ErrorCode0
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge DistillationCode0
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mappingCode0
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation ModelsCode0
CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image GenerationCode0
Fisher Deep Domain AdaptationCode0
Deep learning based domain adaptation for mitochondria segmentation on EM volumesCode0
The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in PhotographsCode0
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual RecognitionCode0
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer NetworksCode0
First U-Net Layers Contain More Domain Specific Information Than The Last OnesCode0
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain AdaptationCode0
Deep into The Domain Shift: Transfer Learning through Dependence RegularizationCode0
When Cars meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse WeatherCode0
Asynchronous Collaborative Graph Representation for Frames and EventsCode0
Multilingual Email ZoningCode0
DeepFont: Identify Your Font from An ImageCode0
The Global Anchor Method for Quantifying Linguistic Shifts and Domain AdaptationCode0
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine LearningCode0
Deep Domain Adversarial Adaptation for Photon-efficient ImagingCode0
Multilingual Semantic Parsing And Code-SwitchingCode0
3D Reconstruction of Sculptures from Single Images via Unsupervised Domain Adaptation on Implicit ModelsCode0
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled VideosCode0
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-LabelingCode0
Multimodal Age and Gender Classification Using Ear and Profile Face ImagesCode0
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain AdaptationCode0
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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
4PMTransAccuracy89Unverified
5CMKDAccuracy89Unverified
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
8MEDMAccuracy88.9Unverified
9DDAAccuracy88.9Unverified
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