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 10511100 of 6439 papers

TitleStatusHype
Multi-Source Deep Domain Adaptation with Weak Supervision for Time-Series Sensor DataCode1
Style Normalization and Restitution for Generalizable Person Re-identificationCode1
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceCode1
Domain Conditioned Adaptation NetworkCode1
Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level AligningCode1
VIDIT: Virtual Image Dataset for Illumination TransferCode1
Target-Independent Domain Adaptation for WBC Classification using Generative Latent SearchCode1
Domain Adaptation for Image DehazingCode1
Source-Relaxed Domain Adaptation for Image SegmentationCode1
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weightingCode1
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysisCode1
Fact or Fiction: Verifying Scientific ClaimsCode1
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19Code1
Maximum Density Divergence for Domain AdaptationCode1
Towards Accurate and Robust Domain Adaptation under Noisy EnvironmentsCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
Cross-Domain Structure Preserving Projection for Heterogeneous Domain AdaptationCode1
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental ProtocolCode1
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide ImagesCode1
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-SupervisionCode1
Zero-Shot Compositional Policy Learning via Language GroundingCode1
Self6D: Self-Supervised Monocular 6D Object Pose EstimationCode1
Multi-source Attention for Unsupervised Domain AdaptationCode1
Adversarial Style Mining for One-Shot Unsupervised Domain AdaptationCode1
Classifying Constructive CommentsCode1
Phase Consistent Ecological Domain AdaptationCode1
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
Universal Source-Free Domain AdaptationCode1
Towards Inheritable Models for Open-Set Domain AdaptationCode1
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven ConversationCode1
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based ChatbotsCode1
Neuron Linear Transformation: Modeling the Domain Shift for Crowd CountingCode1
Gradually Vanishing Bridge for Adversarial Domain AdaptationCode1
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open ProblemCode1
Self-Supervised Learning for Domain Adaptation on Point-CloudsCode1
Cross-domain Detection via Graph-induced Prototype AlignmentCode1
Learning Invariant Representation for Unsupervised Image RestorationCode1
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient SituationsCode1
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation PerspectiveCode1
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text GenerationCode1
Exploring Categorical Regularization for Domain Adaptive Object DetectionCode1
Unsupervised Domain Adaptation via Structurally Regularized Deep ClusteringCode1
Domain-Adaptive Few-Shot LearningCode1
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic SegmentationCode1
Structured Domain Adaptation with Online Relation Regularization for Unsupervised Person Re-IDCode1
Unified Image and Video Saliency ModelingCode1
Supervised Domain Adaptation using Graph EmbeddingCode1
Mind the Gap: Enlarging the Domain Gap in Open Set Domain AdaptationCode1
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic SegmentationCode1
A Balanced and Uncertainty-aware Approach for Partial 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