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 551–600 of 6439 papers

TitleStatusHype
General Frameworks for Conditional Two-Sample TestingCode0
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain AdaptationCode1
Assessment of Transformer-Based Encoder-Decoder Model for Human-Like Summarization—0
Co-training partial domain adaptation networks for industrial Fault Diagnosis—0
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal EndoscopyCode0
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis—0
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic SegmentationCode0
LiOn-XA: Unsupervised Domain Adaptation via LiDAR-Only Cross-Modal Adversarial TrainingCode0
Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation—0
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation—0
Unsupervised Domain Adaptation Approaches for Chessboard RecognitionCode0
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup—0
Pseudo-label Refinement for Improving Self-Supervised Learning Systems—0
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization—0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation—0
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote SensingCode1
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System—0
DaDiff: Domain-aware Diffusion Model for Nighttime UAV TrackingCode1
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning—0
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images—0
Reducing Source-Private Bias in Extreme Universal Domain Adaptation—0
Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing ImagesCode0
Scalable Multi-Domain Adaptation of Language Models using Modular Experts—0
Domain-Conditioned Transformer for Fully Test-time AdaptationCode0
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation—0
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text RecognitionCode1
MTL-LoRA: Low-Rank Adaptation for Multi-Task LearningCode1
Cross-Domain Distribution Alignment for Segmentation of Private Unannotated 3D Medical ImagesCode0
A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification—0
One-shot Generative Domain Adaptation in 3D GANsCode0
GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder—0
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning—0
Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray FluoroscopyCode0
GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time SeriesCode0
On The Relationship between Visual Anomaly-free and Anomalous Representations—0
Degree-Conscious Spiking Graph for Cross-Domain Adaptation—0
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
RefineStyle: Dynamic Convolution Refinement for StyleGAN—0
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing—0
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning—0
On Instruction-Finetuning Neural Machine Translation Models—0
A Strategy for Label Alignment in Deep Neural NetworksCode0
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition—0
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMsCode0
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel SegmentationCode0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein EstimatorCode0
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement—0
PixelShuffler: A Simple Image Translation Through Pixel RearrangementCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FFTATAverage Accuracy96—Unverified
2PMTransAverage Accuracy95.3—Unverified
3CMKDAverage Accuracy94.4—Unverified
4SSRT-B (ours)Average Accuracy93.5—Unverified
5CDTransAverage Accuracy92.6—Unverified
6CoViAverage Accuracy91.8—Unverified
7GSDEAverage Accuracy91.7—Unverified
8FixBiAverage Accuracy91.4—Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6—Unverified
10BIWAAAverage Accuracy90.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1—Unverified
2ILM-ASSLmIoU76.6—Unverified
3DCFmIoU69.3—Unverified
4HRDA+PiPamIoU68.2—Unverified
5MICmIoU67.3—Unverified
6FREDOM - TransformermIoU67—Unverified
7HRDAmIoU65.8—Unverified
8SePiComIoU64.3—Unverified
9MIC + Guidance TrainingmIoU63.8—Unverified
10DAFormer + ProCSTmIoU61.6—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8—Unverified
2DCFmIoU77.7—Unverified
3ILM-ASSLmIoU76.1—Unverified
4MICmIoU75.9—Unverified
5HRDA+PiPamIoU75.6—Unverified
6HRDAmIoU73.8—Unverified
7FREDOM - TransformermIoU73.6—Unverified
8HALOmIoU73.3—Unverified
9SePiComIoU70.3—Unverified
10DAFormer + ProCSTmIoU69.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3—Unverified
2RCLAccuracy90—Unverified
3PGA (ViT-L/14)Accuracy89.4—Unverified
4CMKDAccuracy89—Unverified
5PMTransAccuracy89—Unverified
6MICAccuracy86.2—Unverified
7PGA (ViT-B/16)Accuracy85.1—Unverified
8ELSAccuracy84.6—Unverified
9SDAT (ViT-B/16)Accuracy84.3—Unverified
10CDTrans (DeiT-B)Accuracy80.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8—Unverified
2RCLAccuracy93.2—Unverified
3MICAccuracy92.8—Unverified
4SWGAccuracy92.7—Unverified
5CMKDAccuracy91.8—Unverified
6DePTAccuracy90.7—Unverified
7SDAT(ViT)Accuracy89.8—Unverified
8SFDA2++Accuracy89.6—Unverified
9PMtransAccuracy88.8—Unverified
10CoViAccuracy88.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3—Unverified
2MCC+NWDAccuracy90.7—Unverified
3GLOT-DRAccuracy90.4—Unverified
4SPLAccuracy90.3—Unverified
5DFA-SAFNAccuracy90.2—Unverified
6DADAAccuracy89.3—Unverified
7DFA-ENTAccuracy89.1—Unverified
8DDAAccuracy88.9—Unverified
9MEDMAccuracy88.9—Unverified
10IAFN+ENTAccuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8—Unverified
2ReinmIoU77.6—Unverified
3CoDAmIoU72.6—Unverified
4Refign (HRDA)mIoU72.1—Unverified
5HALOmIoU71.9—Unverified
6MICmIoU70.4—Unverified
7HRDAmIoU68—Unverified
8Refign (DAFormer)mIoU65.5—Unverified
9VBLC (DAFormer)mIoU64.2—Unverified
10CMFormermIoU60.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8—Unverified
2FAMCDAccuracy98.72—Unverified
3DFA-MCDAccuracy98.6—Unverified
4Mean teacherAccuracy98.26—Unverified
5DRANetAccuracy98.2—Unverified
6SHOTAccuracy98—Unverified
7DFA-ENTAccuracy97.9—Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1—Unverified