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 601650 of 6439 papers

TitleStatusHype
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document UnderstandingCode1
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionCode1
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic SegmentationCode1
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free InferenceCode1
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text SummarizationCode1
Adversarial Reweighting for Partial Domain AdaptationCode1
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question AnsweringCode1
Adversarial Reweighting with α-Power Maximization for Domain AdaptationCode1
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
Cloud Object Detector Adaptation by Integrating Different Source KnowledgeCode1
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by ExampleCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain SearchCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain AdaptationCode1
Exploring Data Aggregation and Transformations to Generalize across Visual DomainsCode1
Cluster Contrast for Unsupervised Person Re-IdentificationCode1
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic SegmentationCode1
Cluster-level pseudo-labelling for source-free cross-domain facial expression recognitionCode1
Adversarial Style Mining for One-Shot Unsupervised Domain AdaptationCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt TuningCode1
Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and BeyondCode1
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain AdaptationCode1
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask LearningCode1
Factorizing Content and Budget Decisions in Abstractive Summarization of Long DocumentsCode1
DODA: Diffusion for Object-detection Domain Adaptation in AgricultureCode1
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action RecognitionCode1
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object DetectionCode1
Collaborative Perception Datasets for Autonomous Driving: A ReviewCode1
f-Domain-Adversarial Learning: Theory and AlgorithmsCode1
Audio-Adaptive Activity Recognition Across Video DomainsCode1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
AugCSE: Contrastive Sentence Embedding with Diverse AugmentationsCode1
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking ConsistencyCode1
Compositional Semantic Mix for Domain Adaptation in Point Cloud SegmentationCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
Few-Shot Document-Level Relation ExtractionCode1
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shiftsCode1
ConDA: Contrastive Domain Adaptation for AI-generated Text DetectionCode1
Adversarial Weighting for Domain Adaptation in RegressionCode1
Few-Shot Domain Adaptation with Polymorphic TransformersCode1
ConDo: Continual Domain Expansion for Absolute Pose RegressionCode1
Condition-Invariant Semantic SegmentationCode1
Confidence-based Visual Dispersal for Few-shot Unsupervised Domain AdaptationCode1
Domain Adaptation for Deep Entity Resolution: A Design Space ExplorationCode1
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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