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 551600 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 Summarization0
Co-training partial domain adaptation networks for industrial Fault Diagnosis0
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 Analysis0
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 Adaptation0
Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation0
Unsupervised Domain Adaptation Approaches for Chessboard RecognitionCode0
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup0
Pseudo-label Refinement for Improving Self-Supervised Learning Systems0
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation0
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote SensingCode1
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System0
DaDiff: Domain-aware Diffusion Model for Nighttime UAV TrackingCode1
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning0
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images0
Reducing Source-Private Bias in Extreme Universal Domain Adaptation0
Adversarial Feature Equilibrium Network for Multimodal Change Detection in Heterogeneous Remote Sensing ImagesCode0
Scalable Multi-Domain Adaptation of Language Models using Modular Experts0
Domain-Conditioned Transformer for Fully Test-time AdaptationCode0
3DS: Decomposed Difficulty Data Selection's Case Study on LLM Medical Domain Adaptation0
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-identification0
One-shot Generative Domain Adaptation in 3D GANsCode0
GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder0
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning0
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 Representations0
Degree-Conscious Spiking Graph for Cross-Domain Adaptation0
FACMIC: Federated Adaptative CLIP Model for Medical Image ClassificationCode1
RefineStyle: Dynamic Convolution Refinement for StyleGAN0
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing0
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning0
On Instruction-Finetuning Neural Machine Translation Models0
A Strategy for Label Alignment in Deep Neural NetworksCode0
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition0
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 Generation0
FedStein: Enhancing Multi-Domain Federated Learning Through James-Stein EstimatorCode0
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement0
PixelShuffler: A Simple Image Translation Through Pixel RearrangementCode1
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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