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 651–700 of 6439 papers

TitleStatusHype
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual NormalizationCode1
Tell me what you see: A zero-shot action recognition method based on natural language descriptionsCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Efficient Hierarchical Domain Adaptation for Pretrained Language ModelsCode1
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense RetrievalCode1
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic SegmentationCode1
Do Pedestrians Pay Attention? Eye Contact Detection in the WildCode1
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive LearningCode1
No-Reference Point Cloud Quality Assessment via Domain AdaptationCode1
SGM3D: Stereo Guided Monocular 3D Object DetectionCode1
Active Learning for Domain Adaptation: An Energy-Based ApproachCode1
MultiVerS: Improving scientific claim verification with weak supervision and full-document contextCode1
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement LearningCode1
Multiple Fusion Adaptation: A Strong Framework for Unsupervised Semantic Segmentation AdaptationCode1
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by NormalizationCode1
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?Code1
Adversarial Reweighting for Partial Domain AdaptationCode1
Confident Anchor-Induced Multi-Source Free Domain AdaptationCode1
Removing Inter-Experimental Variability from Functional Data in Systems NeuroscienceCode1
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-LearningCode1
Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object DetectionCode1
Self-supervised Autoregressive Domain Adaptation for Time Series DataCode1
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic SegmentationCode1
Contrastive Vicinal Space for Unsupervised Domain AdaptationCode1
Cross-Domain Adaptive Teacher for Object DetectionCode1
SPCL: A New Framework for Domain Adaptive Semantic Segmentation via Semantic Prototype-based Contrastive LearningCode1
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentationCode1
Self-Supervised Pre-Training for Transformer-Based Person Re-IdentificationCode1
Merging Models with Fisher-Weighted AveragingCode1
See Eye to Eye: A Lidar-Agnostic 3D Detection Framework for Unsupervised Multi-Target Domain AdaptationCode1
HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRECode1
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal TransportCode1
Probabilistic Contrastive Learning for Domain AdaptationCode1
Domain Attention Consistency for Multi-Source Domain AdaptationCode1
Transferable Time-Series Forecasting under Causal Conditional ShiftCode1
TimeMatch: Unsupervised Cross-Region Adaptation by Temporal Shift EstimationCode1
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect ExtractionCode1
WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NERCode1
Improving End-to-End Task-Oriented Dialog System with A Simple Auxiliary TaskCode1
Multi-Domain Multilingual Question AnsweringCode1
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding LearningCode1
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event DataCode1
Image-Based CLIP-Guided Essence TransferCode1
Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic SegmentationCode1
A Prototype-Oriented Framework for Unsupervised Domain AdaptationCode1
Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain AdaptationCode1
Continual self-training with bootstrapped remixing for speech enhancementCode1
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic SegmentationCode1
InfAnFace: Bridging the infant-adult domain gap in facial landmark estimation in the wildCode1
FedMM: Saddle Point Optimization for Federated Adversarial Domain AdaptationCode1
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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