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 17011750 of 6439 papers

TitleStatusHype
Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping ReconstructionCode0
Impact of ImageNet Model Selection on Domain AdaptationCode0
A Generative Framework for Zero-Shot Learning with Adversarial Domain AdaptationCode0
Unsupervised Domain Adaptation for Cross-sensor Pore Detection in High-resolution Fingerprint ImagesCode0
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identificationCode0
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
Autonomous Cross Domain Adaptation under Extreme Label ScarcityCode0
ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain AdaptationCode0
Cross-Region Building Counting in Satellite Imagery using Counting ConsistencyCode0
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained EnvironmentsCode0
Automatic Online Multi-Source Domain AdaptationCode0
IDANI: Inference-time Domain Adaptation via Neuron-level InterventionsCode0
Direct domain adaptation through reciprocal linear transformationsCode0
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain AdaptationCode0
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep UnrollingCode0
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain AdaptationCode0
DisasterNets: Embedding Machine Learning in Disaster MappingCode0
Cartoon Face Recognition: A Benchmark DatasetCode0
Identifying Quantum Phase Transitions with Adversarial Neural NetworksCode0
Improving Span Representation for Domain-adapted Coreference ResolutionCode0
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?Code0
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance ImagesCode0
Homeomorphism Alignment for Unsupervised Domain AdaptationCode0
Cross-Lingual Vision-Language NavigationCode0
On Learning Invariant Representation for Domain AdaptationCode0
Hierarchical Optimal Transport for Unsupervised Domain AdaptationCode0
Hierarchical Attention Transfer Network for Cross-Domain Sentiment ClassificationCode0
HierDAMap: Towards Universal Domain Adaptive BEV Mapping via Hierarchical Perspective PriorsCode0
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement LearningCode0
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and CybersecurityCode0
Harnessing Out-Of-Distribution Examples via Augmenting Content and StyleCode0
On Characterizing the Trade-off in Invariant Representation LearningCode0
Discriminative Radial Domain AdaptationCode0
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage DiagnosisCode0
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm SegmentationCode0
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
Adaptiope: A Modern Benchmark for Unsupervised Domain AdaptationCode0
Automatic adaptation of object detectors to new domains using self-trainingCode0
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target DataCode0
3MOS: Multi-sources, Multi-resolutions, and Multi-scenes dataset for Optical-SAR image matchingCode0
Handling new target classes in semantic segmentation with domain adaptationCode0
Gradual Fine-Tuning for Low-Resource Domain AdaptationCode0
Open Set Domain Adaptation: Theoretical Bound and AlgorithmCode0
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and AlgorithmCode0
DIRA: Dynamic Domain Incremental Regularised AdaptationCode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
Automated Utterance Labeling of Conversations Using Natural Language ProcessingCode0
Building Chinese Biomedical Language Models via Multi-Level Text DiscriminationCode0
Cross-domain Semantic Parsing via ParaphrasingCode0
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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