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 751800 of 6439 papers

TitleStatusHype
Learning Wasserstein EmbeddingsCode1
DA-Mamba: Domain Adaptive Hybrid Mamba-Transformer Based One-Stage Object DetectionCode1
DDAM-PS: Diligent Domain Adaptive Mixer for Person SearchCode1
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video GamesCode1
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Adaptive Machine Translation with Large Language ModelsCode1
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for ExplainabilityCode1
Libri-Adapt: A New Speech Dataset for Unsupervised Domain AdaptationCode1
A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action RecognitionCode1
Decoupled Adaptation for Cross-Domain Object DetectionCode1
Beyond Model Adaptation at Test Time: A SurveyCode1
DecoupleNet: Decoupled Network for Domain Adaptive Semantic SegmentationCode1
Deep CORAL: Correlation Alignment for Deep Domain AdaptationCode1
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot DetectionCode1
Local Context-Aware Active Domain AdaptationCode1
Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple HospitalsCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
Bridging the Domain Gap for Multi-Agent PerceptionCode1
Adversarial Bipartite Graph Learning for Video Domain AdaptationCode1
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across DomainsCode1
Deeply Coupled Cross-Modal Prompt LearningCode1
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation SegmentationCode1
Bi-Classifier Determinacy Maximization for Unsupervised Domain AdaptationCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
Dual-level Interaction for Domain Adaptive Semantic SegmentationCode1
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised SegmentationCode1
Deep Unsupervised Domain Adaptation for Time Series Classification: a BenchmarkCode1
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
Bidirectional Learning for Domain Adaptation of Semantic SegmentationCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
Demystifying Domain-adaptive Post-training for Financial LLMsCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac SegmentationCode1
Delving into the Continuous Domain AdaptationCode1
A Prototype-Oriented Framework for Unsupervised Domain AdaptationCode1
Density-Insensitive Unsupervised Domain Adaption on 3D Object DetectionCode1
DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and moleculesCode1
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context ExchangeCode1
BioClinical ModernBERT: A State-of-the-Art Long-Context Encoder for Biomedical and Clinical NLPCode1
A-LINK: Recognizing Disguised Faces via Active Learning based Inter-Domain KnowledgeCode1
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented DialogueCode1
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object DetectionCode1
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model GeneralizationCode1
Meta Self-Learning for Multi-Source Domain Adaptation: A BenchmarkCode1
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-ResolutionCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph LearningCode1
Dual Adversarial Domain AdaptationCode1
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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