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 651700 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 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