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 551600 of 6439 papers

TitleStatusHype
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
Domain Adaptation for Deep Entity Resolution: A Design Space ExplorationCode1
CLIP4IDC: CLIP for Image Difference CaptioningCode1
Prompt-aligned Gradient for Prompt TuningCode1
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain AdaptationCode1
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box PredictorsCode1
kNN-Prompt: Nearest Neighbor Zero-Shot InferenceCode1
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-LabelingCode1
Factorizing Content and Budget Decisions in Abstractive Summarization of Long DocumentsCode1
Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense RetrievalCode1
Non-Parametric Domain Adaptation for End-to-End Speech TranslationCode1
Test-Time Adaptation with Shape Moments for Image SegmentationCode1
Unsupervised Structure-Texture Separation Network for Oracle Character RecognitionCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain DialogueCode1
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited SupervisionCode1
Attracting and Dispersing: A Simple Approach for Source-free Domain AdaptationCode1
Multi-level Consistency Learning for Semi-supervised Domain AdaptationCode1
One-Class Knowledge Distillation for Face Presentation Attack DetectionCode1
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-ResolutionCode1
Few-Shot Document-Level Relation ExtractionCode1
Creating a Forensic Database of Shoeprints from Online Shoe Tread PhotosCode1
MTTrans: Cross-Domain Object Detection with Mean-Teacher TransformerCode1
NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection AlgorithmsCode1
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic SegmentationCode1
ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-TransferCode1
KALA: Knowledge-Augmented Language Model AdaptationCode1
Contrastive Test-Time AdaptationCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationCode1
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic SegmentationCode1
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and BeyondCode1
Safe Self-Refinement for Transformer-based Domain AdaptationCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed SensingCode1
Towards Online Domain Adaptive Object DetectionCode1
Self-Supervised Graph Neural Network for Multi-Source Domain AdaptationCode1
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain AdaptationCode1
Domain Adaptation for Time-Series Classification to Mitigate Covariate ShiftCode1
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain AdaptationCode1
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic SegmentationCode1
FIFO: Learning Fog-invariant Features for Foggy Scene SegmentationCode1
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change DetectionCode1
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point CloudsCode1
Multi-Granularity Alignment Domain Adaptation for Object DetectionCode1
On the Road to Online Adaptation for Semantic Image SegmentationCode1
Instance Relation Graph Guided Source-Free Domain Adaptive Object DetectionCode1
Target and Task specific Source-Free Domain Adaptive Image SegmentationCode1
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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