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 18011850 of 6439 papers

TitleStatusHype
Attentive Continuous Generative Self-training for Unsupervised Domain Adaptive Medical Image Translation0
Are Large Language Models Robust Coreference Resolvers?Code0
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic SegmentationCode0
Adaptive Face Recognition Using Adversarial Information Network0
Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers0
Modular Domain Adaptation for Conformer-Based Streaming ASR0
TADA: Efficient Task-Agnostic Domain Adaptation for TransformersCode0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
Feasibility of Transfer Learning: A Mathematical Framework0
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification0
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment0
Observations on LLMs for Telecom Domain: Capabilities and Limitations0
Continually Improving Extractive QA via Human FeedbackCode0
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems0
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data0
Computing high-dimensional optimal transport by flow neural networksCode0
Few-shot 3D Shape Generation0
Decouple knowledge from parameters for plug-and-play language modelingCode1
Universal Domain Adaptation from Foundation Models: A Baseline StudyCode1
Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object PoseCode0
NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment ClassificationCode0
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation0
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images0
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
SUG: Single-dataset Unified Generalization for 3D Point Cloud ClassificationCode1
Text Classification via Large Language ModelsCode1
Exploring Few-Shot Adaptation for Activity Recognition on Diverse DomainsCode1
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus ImagesCode0
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation0
Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning0
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust0
Learning representations that are closed-form Monge mapping optimal with application to domain adaptationCode0
Color Deconvolution applied to Domain Adaptation in HER2 histopathological images0
High-Resolution Remote Sensing Bitemporal Image Change Detection Based on Feature Interaction and Multitask LearningCode1
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation0
Exploring Zero and Few-shot Techniques for Intent Classification0
Active Semantic Localization with Graph Neural Embedding0
Best-Effort Adaptation0
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation0
Fashion CUT: Unsupervised domain adaptation for visual pattern classification in clothes using synthetic data and pseudo-labels0
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching0
Target-driven One-Shot Unsupervised Domain Adaptation0
Generalized Universal Domain Adaptation with Generative Flow Networks0
Model-Contrastive Federated Domain Adaptation0
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation0
Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation0
DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception0
DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation0
ReMask: A Robust Information-Masking Approach for Domain Counterfactual GenerationCode0
Semi-supervised Domain Adaptation via Prototype-based Multi-level LearningCode1
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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