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 61016150 of 6439 papers

TitleStatusHype
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement LearningCode0
Cross-Lingual Vision-Language NavigationCode0
Towards Better Domain Adaptation for Self-supervised Models: A Case Study of Child ASRCode0
Towards Better Robustness against Common Corruptions for Unsupervised Domain AdaptationCode0
Enhancing Egocentric 3D Pose Estimation with Third Person ViewsCode0
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient MethodsCode0
On Regularization Parameter Estimation under Covariate ShiftCode0
Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image SegmentationCode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
Vicinal and categorical domain adaptationCode0
Short Answer Grading: When Sorting Helps and When it Doesn'tCode0
On statistic alignment for domain adaptation in structural health monitoringCode0
Enhancing Counterfactual Classification via Self-TrainingCode0
Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping ReconstructionCode0
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial LossCode0
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain AdaptationCode0
Towards Compact ConvNets via Structure-Sparsity Regularized Filter PruningCode0
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain AdaptationCode0
Zero-Shot Transfer Learning for Structural Health Monitoring using Generative Adversarial Networks and Spectral MappingCode0
Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation TrainingCode0
Cross-domain Semantic Parsing via ParaphrasingCode0
SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural NetworksCode0
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain AdaptationCode0
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive LearningCode0
On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for RetinographyCode0
Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain AdaptationCode0
On Characterizing the Trade-off in Invariant Representation LearningCode0
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic ImageryCode0
AdaTreeFormer: Few Shot Domain Adaptation for Tree Counting from a Single High-Resolution ImageCode0
Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain AdaptationCode0
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI SegmentationCode0
Bridging Domains with Approximately Shared FeaturesCode0
Video Summarization with Long Short-term MemoryCode0
AugTriever: Unsupervised Dense Retrieval and Domain Adaptation by Scalable Data AugmentationCode0
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity RecognitionCode0
On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture RecognitionCode0
Unsupervised Domain Adaptive Person Search via Dual Self-CalibrationCode0
Aligning Hyperbolic Representations: an Optimal Transport-based approachCode0
Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain AdaptationCode0
Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain AdaptationCode0
On the Transferability of Learning Models for Semantic Segmentation for Remote Sensing DataCode0
English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug ReportsCode0
Cross-Domain NER using Cross-Domain Language ModelingCode0
Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain AdaptationCode0
End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering SystemsCode0
Towards Example-Based NMT with Multi-Levenshtein TransformersCode0
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimationCode0
Unsupervised Domain Adaptation Approaches for Chessboard RecognitionCode0
Unsupervised Domain Adaptation Architecture Search with Self-Training for Land Cover MappingCode0
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware PerspectiveCode0
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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