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 55015550 of 6439 papers

TitleStatusHype
Improving Document Binarization via Adversarial Noise-Texture AugmentationCode0
CNG-SFDA:Clean-and-Noisy Region Guided Online-Offline Source-Free Domain AdaptationCode0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
Response Enhanced Semi-supervised Dialogue Query GenerationCode0
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain AdaptationCode0
Automatic adaptation of object detectors to new domains using self-trainingCode0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
Domain adaptation for person re-identification on new unlabeled data using AlignedReID++Code0
Rethinking Distributional Matching Based Domain AdaptationCode0
Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal TransportCode0
Towards Resolving Propensity Contradiction in Offline Recommender LearningCode0
Light-weight Calibrator: a Separable Component for Unsupervised Domain AdaptationCode0
Lightweight Client-Side Chinese/Japanese Morphological Analyzer Based on Online LearningCode0
Rethinking Ensemble-Distillation for Semantic Segmentation Based Unsupervised Domain AdaptationCode0
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious CorrelationsCode0
Domain Adaptation for Object Detection via Style ConsistencyCode0
Domain Adaptation for Object Detection using SE Adaptors and Center LossCode0
Domain Adaptation for MRI Organ Segmentation using Reverse Classification AccuracyCode0
Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-TrainingCode0
Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range DisplaysCode0
Linguistically Informed Masking for Representation Learning in the Patent DomainCode0
Return of Frustratingly Easy Domain AdaptationCode0
CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo MatchingCode0
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial TrainingCode0
Domain Adaptation for Learned Image Compression with Supervised AdaptersCode0
Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain AdaptationCode0
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from ImagesCode0
Clustering Effect of (Linearized) Adversarial Robust ModelsCode0
Adversarial Distribution Balancing for Counterfactual ReasoningCode0
LLMs4Life: Large Language Models for Ontology Learning in Life SciencesCode0
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence ViewCode0
Revisiting Batch Normalization For Practical Domain AdaptationCode0
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive SegmentationCode0
Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence GenerationCode0
Local Byte Fusion for Neural Machine TranslationCode0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in AudioCode0
Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence LabelingCode0
Localising In-Domain Adaptation of Transformer-Based Biomedical Language ModelsCode0
Locality Preserving Joint Transfer for Domain AdaptationCode0
Clustered Federated Learning via Embedding DistributionsCode0
Implicit Semantic Response Alignment for Partial Domain AdaptationCode0
An embarrassingly simple approach to zero-shot learningCode0
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution AlignmentCode0
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
Revisiting Distributional Correspondence Indexing: A Python Reimplementation and New ExperimentsCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identificationCode0
Domain Adaptation for Ear Recognition Using Deep Convolutional Neural NetworksCode0
Syn-to-Real Unsupervised Domain Adaptation for Indoor 3D Object DetectionCode0
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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