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 301–350 of 6439 papers

TitleStatusHype
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion RecognitionCode1
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain AdaptationCode1
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic SegmentationCode1
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory DistillationCode1
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic SegmentationCode1
Divide and Adapt: Active Domain Adaptation via Customized LearningCode1
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network LearningCode1
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive LearningCode1
Zero-shot Domain-sensitive Speech Recognition with Prompt-conditioning Fine-tuningCode1
Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy WeatherCode1
Dual-level Interaction for Domain Adaptive Semantic SegmentationCode1
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-LabelingCode1
Source-Free Domain Adaptation with Temporal Imputation for Time Series DataCode1
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over FunctionsCode1
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object SegmentationCode1
Copy Is All You NeedCode1
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational PathologyCode1
Interactive Learning of Intrinsic and Extrinsic Properties for All-day Semantic SegmentationCode1
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical DomainCode1
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive LearningCode1
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain AdaptationCode1
LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot DetectionCode1
Multimodal Prompt Retrieval for Generative Visual Question AnsweringCode1
Land Cover Segmentation with Sparse Annotations from Sentinel-2 ImageryCode1
Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationsCode1
Hyperbolic Active Learning for Semantic Segmentation under Domain ShiftCode1
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic SegmentationCode1
Taxonomy-Structured Domain AdaptationCode1
QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain SearchCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models MemoriesCode1
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain AdaptationCode1
Structural Re-weighting Improves Graph Domain AdaptationCode1
Long-range UAV Thermal Geo-localization with Satellite ImageryCode1
Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast LearningCode1
Learning Disentangled Prompts for Compositional Image SynthesisCode1
Deeply Coupled Cross-Modal Prompt LearningCode1
Condition-Invariant Semantic SegmentationCode1
Extremely weakly-supervised blood vessel segmentation with physiologically based synthesis and domain adaptationCode1
Improving Knowledge Distillation via Regularizing Feature Norm and DirectionCode1
NeuroX Library for Neuron Analysis of Deep NLP ModelsCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
Decouple knowledge from parameters for plug-and-play language modelingCode1
Universal Domain Adaptation from Foundation Models: A Baseline StudyCode1
SUG: Single-dataset Unified Generalization for 3D Point Cloud ClassificationCode1
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment AnalysisCode1
Text Classification via Large Language ModelsCode1
Exploring Few-Shot Adaptation for Activity Recognition on Diverse DomainsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96—Unverified
2PMTransAverage Accuracy95.3—Unverified
3CMKDAverage Accuracy94.4—Unverified
4SSRT-B (ours)Average Accuracy93.5—Unverified
5CDTransAverage Accuracy92.6—Unverified
6CoViAverage Accuracy91.8—Unverified
7GSDEAverage Accuracy91.7—Unverified
8FixBiAverage Accuracy91.4—Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6—Unverified
10BIWAAAverage Accuracy90.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1—Unverified
2ILM-ASSLmIoU76.6—Unverified
3DCFmIoU69.3—Unverified
4HRDA+PiPamIoU68.2—Unverified
5MICmIoU67.3—Unverified
6FREDOM - TransformermIoU67—Unverified
7HRDAmIoU65.8—Unverified
8SePiComIoU64.3—Unverified
9MIC + Guidance TrainingmIoU63.8—Unverified
10DAFormer + ProCSTmIoU61.6—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8—Unverified
2DCFmIoU77.7—Unverified
3ILM-ASSLmIoU76.1—Unverified
4MICmIoU75.9—Unverified
5HRDA+PiPamIoU75.6—Unverified
6HRDAmIoU73.8—Unverified
7FREDOM - TransformermIoU73.6—Unverified
8HALOmIoU73.3—Unverified
9SePiComIoU70.3—Unverified
10DAFormer + ProCSTmIoU69.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3—Unverified
2RCLAccuracy90—Unverified
3PGA (ViT-L/14)Accuracy89.4—Unverified
4CMKDAccuracy89—Unverified
5PMTransAccuracy89—Unverified
6MICAccuracy86.2—Unverified
7PGA (ViT-B/16)Accuracy85.1—Unverified
8ELSAccuracy84.6—Unverified
9SDAT (ViT-B/16)Accuracy84.3—Unverified
10CDTrans (DeiT-B)Accuracy80.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8—Unverified
2RCLAccuracy93.2—Unverified
3MICAccuracy92.8—Unverified
4SWGAccuracy92.7—Unverified
5CMKDAccuracy91.8—Unverified
6DePTAccuracy90.7—Unverified
7SDAT(ViT)Accuracy89.8—Unverified
8SFDA2++Accuracy89.6—Unverified
9PMtransAccuracy88.8—Unverified
10CoViAccuracy88.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3—Unverified
2MCC+NWDAccuracy90.7—Unverified
3GLOT-DRAccuracy90.4—Unverified
4SPLAccuracy90.3—Unverified
5DFA-SAFNAccuracy90.2—Unverified
6DADAAccuracy89.3—Unverified
7DFA-ENTAccuracy89.1—Unverified
8DDAAccuracy88.9—Unverified
9MEDMAccuracy88.9—Unverified
10IAFN+ENTAccuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8—Unverified
2ReinmIoU77.6—Unverified
3CoDAmIoU72.6—Unverified
4Refign (HRDA)mIoU72.1—Unverified
5HALOmIoU71.9—Unverified
6MICmIoU70.4—Unverified
7HRDAmIoU68—Unverified
8Refign (DAFormer)mIoU65.5—Unverified
9VBLC (DAFormer)mIoU64.2—Unverified
10CMFormermIoU60.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8—Unverified
2FAMCDAccuracy98.72—Unverified
3DFA-MCDAccuracy98.6—Unverified
4Mean teacherAccuracy98.26—Unverified
5DRANetAccuracy98.2—Unverified
6SHOTAccuracy98—Unverified
7DFA-ENTAccuracy97.9—Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1—Unverified