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 15511600 of 6439 papers

TitleStatusHype
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep LearningCode0
Improving the Generalization of Adversarial Training with Domain AdaptationCode0
Improving the Generalizability of Collaborative Dialogue Analysis with Multi-Feature EmbeddingsCode0
Efficient Structured Pruning and Architecture Searching for Group ConvolutionCode0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label DenoisingCode0
Bidirectional Domain Adaptation Using Weighted Multi-Task LearningCode0
Learning Linear Transformations for Fast Arbitrary Style TransferCode0
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion ModelsCode0
Improving the Sample Efficiency of Prompt Tuning with Domain AdaptationCode0
Improving Rumor Detection by Class-based Adversarial Domain AdaptationCode0
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain AdaptationCode0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain AdaptationCode0
Improving Span Representation for Domain-adapted Coreference ResolutionCode0
Deep Defocus Map Estimation Using Domain AdaptationCode0
Improving Transferability of Domain Adaptation Networks Through Domain Alignment LayersCode0
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant FeaturesCode0
Improving Document Binarization via Adversarial Noise-Texture AugmentationCode0
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
Improving land cover segmentation across satellites using domain adaptationCode0
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious CorrelationsCode0
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMsCode0
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled VideosCode0
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document AnalysisCode0
Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain AdaptationCode0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
Improving Medical Report Generation with Adapter Tuning and Knowledge Enhancement in Vision-Language Foundation ModelsCode0
DADA: Depth-aware Domain Adaptation in Semantic SegmentationCode0
Implicit Semantic Response Alignment for Partial Domain AdaptationCode0
BioADAPT-MRC: Adversarial Learning-based Domain Adaptation Improves Biomedical Machine Reading Comprehension TaskCode0
Importance Weight Estimation and Generalization in Domain Adaptation under Label ShiftCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
Bandit Structured Prediction for Neural Sequence-to-Sequence LearningCode0
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibrationCode0
Improve Cross-domain Mixed Sampling with Guidance Training for Adaptive SegmentationCode0
Alioth: A Machine Learning Based Interference-Aware Performance Monitor for Multi-Tenancy Applications in Public CloudCode0
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain AdaptationCode0
Informative Data Mining for One-Shot Cross-Domain Semantic SegmentationCode0
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentCode0
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain AdaptationCode0
Deep into The Domain Shift: Transfer Learning through Dependence RegularizationCode0
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain AdaptationCode0
Identifying Quantum Phase Transitions with Adversarial Neural NetworksCode0
Deep learning based domain adaptation for mitochondria segmentation on EM volumesCode0
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained EnvironmentsCode0
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial TrainingCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
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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