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 21012150 of 6439 papers

TitleStatusHype
Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain AdaptationCode0
Associative Alignment for Few-shot Image ClassificationCode0
Generalizing A Person Retrieval Model Hetero- and HomogeneouslyCode0
Generalizing Across Domains via Cross-Gradient TrainingCode0
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial ApproachCode0
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray FluoroscopyCode0
Constrained domain adaptation for Image segmentationCode0
Assessing Domain Gap for Continual Domain Adaptation in Object DetectionCode0
Consistency Regularization for Domain AdaptationCode0
Adversarial Domain Adaptation with Domain MixupCode0
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth EstimationCode0
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM^2C)Code0
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology imagesCode0
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical SamplesCode0
Consensus Focus for Object Detection and minority classesCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Connect Later: Improving Fine-tuning for Robustness with Targeted AugmentationsCode0
Aspect-augmented Adversarial Networks for Domain AdaptationCode0
General Domain Adaptation Through Proportional Progressive Pseudo LabelingCode0
General Frameworks for Conditional Two-Sample TestingCode0
Generalizable Image Repair for Robust Visual Autonomous RacingCode0
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy EnvironmentsCode0
FusDom: Combining In-Domain and Out-of-Domain Knowledge for Continuous Self-Supervised LearningCode0
Gaze360: Physically Unconstrained Gaze Estimation in the WildCode0
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text SummarizationCode0
A Simple Domain Shifting Networkfor Generating Low Quality ImagesCode0
GCAL: Adapting Graph Models to Evolving Domain ShiftsCode0
Generative Pseudo-label Refinement for Unsupervised Domain AdaptationCode0
From Galaxy Zoo DECaLS to BASS/MzLS: detailed galaxy morphology classification with unsupervised domain adaptionCode0
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain AdaptationCode0
From Colors to Classes: Emergence of Concepts in Vision TransformersCode0
From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehaveCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
FreqAlign: Excavating Perception-oriented Transferability for Blind Image Quality Assessment from A Frequency PerspectiveCode0
FreSaDa: A French Satire Data Set for Cross-Domain Satire DetectionCode0
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene UnderstandingCode0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading ComprehensionCode0
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel SegmentationCode0
A separability-based approach to quantifying generalization: which layer is best?Code0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Conditional Extreme Value Theory for Open Set Video Domain AdaptationCode0
Truly Generalizable Radiograph Segmentation with Conditional Domain AdaptationCode0
Adversarial Domain Adaptation for Duplicate Question DetectionCode0
A Semi-Supervised Data Augmentation Approach using 3D Graphical EnginesCode0
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation ModelsCode0
FogGuard: guarding YOLO against fog using perceptual lossCode0
From Third Person to First Person: Dataset and Baselines for Synthesis and RetrievalCode0
Fisher Deep Domain AdaptationCode0
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain ConcatenationCode0
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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