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 59015950 of 6439 papers

TitleStatusHype
Data Selection Strategies for Multi-Domain Sentiment AnalysisCode0
Feather-Light Fourier Domain Adaptation in Magnetic Resonance ImagingCode0
Self-Train Before You TranscribeCode0
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMsCode0
Universal Semi-Supervised Semantic SegmentationCode0
The Role of Embedding Complexity in Domain-invariant RepresentationsCode0
Associative Domain AdaptationCode0
Multi-Source Domain Adaptation through Dataset Dictionary Learning in Wasserstein SpaceCode0
Associative Alignment for Few-shot Image ClassificationCode0
Data Centric Domain Adaptation for Historical Text with OCR ErrorsCode0
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal TransportCode0
Self-training solutions for the ICCV 2023 GeoNet ChallengeCode0
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite ImageryCode0
Multi-Source Domain Adaptation with Mixture of ExpertsCode0
A denoised Mean Teacher for domain adaptive point cloud registrationCode0
Assessing Domain Gap for Continual Domain Adaptation in Object DetectionCode0
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive DistillationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image SegmentationCode0
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random SelectionCode0
Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene AdaptionCode0
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic SegmentationCode0
Multi-Source Survival Domain AdaptationCode0
Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image RetrievalCode0
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain AdaptationCode0
Data Augmentation with Atomic Templates for Spoken Language UnderstandingCode0
DARLA: Improving Zero-Shot Transfer in Reinforcement LearningCode0
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating PatternsCode0
Unlocking Constraints: Source-Free Occlusion-Aware Seamless SegmentationCode0
The TechQA DatasetCode0
When Unseen Domain Generalization is Unnecessary? Rethinking Data AugmentationCode0
Unsupervised Domain Adaptation with Deep Neural-NetworkCode0
DARCNN: Domain Adaptive Region-based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical ImagesCode0
CalibNet: Geometrically Supervised Extrinsic Calibration using 3D Spatial Transformer NetworksCode0
Unsupervised Domain Adaptation with Dynamic Clustering and Contrastive Refinement for Gait RecognitionCode0
FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification SystemsCode0
Unpaired Multi-Domain Image Generation via Regularized Conditional GANsCode0
The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain AdaptationCode0
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology imagesCode0
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External DataCode0
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud CompletionCode0
Multi-Task Deep Neural Networks for Natural Language UnderstandingCode0
When Unsupervised Domain Adaptation Meets Tensor RepresentationsCode0
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text SummarizationCode0
DAME: Domain Adaptation for Matching EntitiesCode0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
Unsupervised Adaptation from Repeated Traversals for Autonomous DrivingCode0
CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object ClassificationCode0
SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic ProcessingCode0
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose EstimationCode0
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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