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 701–750 of 6439 papers

TitleStatusHype
FedMM: Saddle Point Optimization for Federated Adversarial Domain AdaptationCode1
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without RetrainingCode1
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial NetworksCode1
Improving Multi-Party Dialogue Discourse Parsing via Domain IntegrationCode1
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain AdaptationCode1
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source DataCode1
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class BoundariesCode1
Long-tailed Distribution AdaptationCode1
ClimateGAN: Raising Climate Change Awareness by Generating Images of FloodsCode1
Decoupled Adaptation for Cross-Domain Object DetectionCode1
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup SegmentationCode1
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object DetectionCode1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
Evaluation of Deep Neural Network Domain Adaptation Techniques for Image RecognitionCode1
Learning Kernel-Smoothed Machine Translation with Retrieved ExamplesCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-LabelingCode1
Joint Distribution Alignment via Adversarial Learning for Domain Adaptive Object DetectionCode1
S^3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain AdaptationCode1
Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack DetectionCode1
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image ClassificationCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Cross-Market Product RecommendationCode1
CDTrans: Cross-domain Transformer for Unsupervised Domain AdaptationCode1
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learningCode1
Pre-train or Annotate? Domain Adaptation with a Constrained BudgetCode1
TACS: Taxonomy Adaptive Cross-Domain Semantic SegmentationCode1
Efficient Nearest Neighbor Language ModelsCode1
Bridging the Gap between Events and Frames through Unsupervised Domain AdaptationCode1
Dual-Camera Super-Resolution with Aligned Attention ModulesCode1
On-target AdaptationCode1
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect ExtractionCode1
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaCode1
Robust Retrieval Augmented Generation for Zero-shot Slot FillingCode1
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit DetectionCode1
Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing ImagesCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Cross-category Video Highlight Detection via Set-based LearningCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood DensityCode1
Meta Self-Learning for Multi-Source Domain Adaptation: A BenchmarkCode1
Improving Mini-batch Optimal Transport via Partial TransportationCode1
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue DetectionCode1
Exploring Data Aggregation and Transformations to Generalize across Visual DomainsCode1
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point CloudsCode1
How Hateful are Movies? A Study and Prediction on Movie SubtitlesCode1
Multi-Anchor Active Domain Adaptation for Semantic SegmentationCode1
PIT: Position-Invariant Transform for Cross-FoV Domain AdaptationCode1
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic SegmentationCode1
Federated Adversarial Debiasing for Fair and Transferable RepresentationsCode1
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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