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 56515700 of 6439 papers

TitleStatusHype
MentorGNN: Deriving Curriculum for Pre-Training GNNsCode0
Gradual Fine-Tuning for Low-Resource Domain AdaptationCode0
Merge-Friendly Post-Training Quantization for Multi-Target Domain AdaptationCode0
Gradual Domain Adaptation without Indexed Intermediate DomainsCode0
Gradual Domain Adaptation via Normalizing FlowsCode0
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are AbsentCode0
Gradient Matching Generative Networks for Zero-Shot LearningCode0
Global-Local Regularization Via Distributional RobustnessCode0
Robust Unsupervised Domain Adaptation for Neural Networks via Moment AlignmentCode0
Unsupervised Domain Adaptation through Self-SupervisionCode0
Anatomical Conditioning for Contrastive Unpaired Image-to-Image Translation of Optical Coherence Tomography ImagesCode0
GLAD: Global-Local View Alignment and Background Debiasing for Unsupervised Video Domain Adaptation with Large Domain GapCode0
Task-guided Domain Gap Reduction for Monocular Depth Prediction in EndoscopyCode0
RoHan: Robust Hand Detection in Operation RoomCode0
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain AdaptationCode0
Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite ImageCode0
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time SeriesCode0
Distributionally Robust Learning for Multi-source Unsupervised Domain AdaptationCode0
Task Transfer and Domain Adaptation for Zero-Shot Question AnsweringCode0
A Curriculum-style Self-training Approach for Source-Free Semantic SegmentationCode0
Central Moment Discrepancy (CMD) for Domain-Invariant Representation LearningCode0
Rule-based Morphological Inflection Improves Neural Terminology TranslationCode0
Cell Detection in Domain Shift Problem Using Pseudo-Cell-Position HeatmapCode0
Distributional Adversarial NetworksCode0
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight ConsolidationCode0
Gibson Env: Real-World Perception for Embodied AgentsCode0
A Client-server Deep Federated Learning for Cross-domain Surgical Image SegmentationCode0
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation ModelsCode0
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient SupervisionCode0
WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain LabelsCode0
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and DetectionCode0
Disentanglement by Cyclic ReconstructionCode0
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic SegmentationCode0
SADA: Semantic adversarial unsupervised domain adaptation for Temporal Action LocalizationCode0
GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinatesCode0
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth EstimationCode0
Teacher-Student Consistency For Multi-Source Domain AdaptationCode0
Unsupervised Domain Adaptation using Generative Adversarial Networks for Semantic Segmentation of Aerial ImagesCode0
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic SegmentationCode0
Generative Pseudo-label Refinement for Unsupervised Domain AdaptationCode0
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target DataCode0
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain AdaptationCode0
Using a Frustratingly Easy Domain and Tagset Adaptation for Creating Slavic Named Entity Recognition SystemsCode0
Generate To Adapt: Aligning Domains using Generative Adversarial NetworksCode0
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray FluoroscopyCode0
Generalizing A Person Retrieval Model Hetero- and HomogeneouslyCode0
Discriminative Radial Domain AdaptationCode0
Discriminative Adversarial Domain AdaptationCode0
Generalizing Across Domains via Cross-Gradient TrainingCode0
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain AdaptationCode0
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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