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 19512000 of 6439 papers

TitleStatusHype
Global High Categorical Resolution Land Cover Mapping via Weak Supervision0
Effectiveness of Vision Language Models for Open-world Single Image Test Time Adaptation0
Pseudo-label Based Domain Adaptation for Zero-Shot Text Steganalysis0
Improvement of Applicability in Student Performance Prediction Based on Transfer Learning0
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data0
Augmentation-based Unsupervised Cross-Domain Functional MRI Adaptation for Major Depressive Disorder Identification0
Domain Adaptation with Cauchy-Schwarz DivergenceCode0
FMARS: Annotating Remote Sensing Images for Disaster Management using Foundation ModelsCode0
From Forest to Zoo: Great Ape Behavior Recognition with ChimpBehaveCode0
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation0
Clustering-Based Validation Splits for Model Selection under Domain Shift0
Domain adaptation in small-scale and heterogeneous biological datasets0
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum LearningCode0
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation0
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction0
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings0
Automatic Domain Adaptation by Transformers in In-Context Learning0
Supervised Batch Normalization0
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth EstimationCode0
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation0
SuDA: Support-based Domain Adaptation for Sim2Real Motion Capture with Flexible Sensors0
5W1H Extraction With Large Language Models0
CEEBERT: Cross-Domain Inference in Early Exit BERTCode0
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation0
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural NetworkCode0
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation0
Adaptive Batch Normalization Networks for Adversarial Robustness0
IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining0
Beyond Traditional Single Object Tracking: A Survey0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation0
AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning0
Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings0
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser0
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM ResearchCode0
Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentation0
Cross-Domain Continual Learning via CLAMPCode0
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation0
High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation0
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External DataCode0
Joint semi-supervised and contrastive learning enables domain generalization and multi-domain segmentation0
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications0
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality AssessmentCode0
MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text SummarizationCode0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks0
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-TrainingCode0
DALLMi: Domain Adaption for LLM-based Multi-label ClassifierCode0
Improving Domain Generalization on Gaze Estimation via Branch-out Auxiliary Regularization0
A separability-based approach to quantifying generalization: which layer is best?Code0
Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range DisplaysCode0
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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