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 28012850 of 6439 papers

TitleStatusHype
Source-Free Domain Adaptation via Distribution EstimationCode0
Can domain adaptation make object recognition work for everyone?0
ADA-VAD: Unpaired Adversarial Domain Adaptation for Noise-Robust Voice Activity Detection0
KALA: Knowledge-Augmented Language Model AdaptationCode1
Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenariosCode0
Contrastive Test-Time AdaptationCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
DAME: Domain Adaptation for Matching EntitiesCode0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation0
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information MaximizationCode1
SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic SegmentationCode1
Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models0
Benchmarking Domain Generalization on EEG-based Emotion Recognition0
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation0
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimationCode0
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and BeyondCode1
Learning Compositional Representations for Effective Low-Shot Generalization0
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection0
Nested Named Entity Recognition as Holistic Structure Parsing0
Safe Self-Refinement for Transformer-based Domain AdaptationCode1
Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic SegmentationCode1
Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction0
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptationCode0
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed SensingCode1
Using Machine Learning for Particle Identification in ALICE0
Activation Regression for Continuous Domain Generalization with Applications to Crop ClassificationCode0
Unsupervised Domain Adaptation with Implicit Pseudo Supervision for Semantic Segmentation0
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised LearningCode2
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation0
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State TrackingCode0
Easy Adaptation to Mitigate Gender Bias in Multilingual Text ClassificationCode0
Towards Online Domain Adaptive Object DetectionCode1
Few-Shot Object Detection in Unseen Domains0
Segmenting across places: The need for fair transfer learning with satellite imagery0
Federated Unsupervised Domain Adaptation for Face Recognition0
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue SummarizationCode0
Self-Supervised Graph Neural Network for Multi-Source Domain AdaptationCode1
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain AdaptationCode1
Jacobian Norm for Unsupervised Source-Free Domain Adaptation0
Domain Adaptation for Time-Series Classification to Mitigate Covariate ShiftCode1
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain AdaptationCode1
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations0
Domain-Agnostic Prior for Transfer Semantic Segmentation0
Self-Supervised Multi-Category Counting Networks for Automatic Check-OutCode0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation0
Leveraging Disentangled Representations to Improve Vision-Based Keystroke Inference Attacks Under Low DataCode0
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic SegmentationCode1
DAD: Data-free Adversarial Defense at Test Time0
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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