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 45514600 of 6439 papers

TitleStatusHype
BIDCD -- Bosch Industrial Depth Completion Dataset0
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation0
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation0
Bi-Directional Generation for Unsupervised Domain Adaptation0
Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition0
Bilingual Text-dependent Speaker Verification with Pre-trained Models for TdSV Challenge 20240
Binary Losses for Density Ratio Estimation0
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification0
BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation0
Biomedical Relation Classification by single and multiple source domain adaptation0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation0
Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation0
Bi-Transferring Deep Neural Networks for Domain Adaptation0
BIT’s system for AutoSimulTrans20210
Domain Adaptation without Model Transferring0
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation0
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation0
Block-As-Domain Adaptation for Workload Prediction from fNIRS Data0
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting0
Book Reviews: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders S0
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation0
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies0
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier0
Self-Paced Learning for Open-Set Domain Adaptation0
Boosting Supervised Learning Performance with Co-training0
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning0
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation0
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding0
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision0
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective0
EMN: Brain-inspired Elastic Memory Network for Quick Domain Adaptive Feature Mapping0
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network0
Brain Tumor Segmentation on MRI with Missing Modalities0
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation0
Bridge the Gap between Supervised and Unsupervised Learning for Fine-Grained Classification0
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application0
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation0
Bridging Domain Gap of Point Cloud Representations via Self-Supervised Geometric Augmentation0
Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs0
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework0
Bridging the Domain Gap for Stance Detection for the Zulu language0
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation0
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding0
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector0
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning0
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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