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
Adaptive Bi-Recommendation and Self-Improving Network for Heterogeneous Domain Adaptation-Assisted IoT Intrusion Detection0
Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation0
Fairness meets Cross-Domain Learning: a new perspective on Models and MetricsCode0
Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic SegmentationCode0
Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow0
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective0
A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance ImagesCode0
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters0
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning0
Probabilistic Domain Adaptation for Biomedical Image SegmentationCode0
Improved Benthic Classification using Resolution Scaling and SymmNet Unsupervised Domain AdaptationCode0
TempT: Temporal consistency for Test-time adaptation0
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond0
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation0
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation0
Diffusion-based Target Sampler for Unsupervised Domain Adaptation0
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation0
Unsupervised domain adaptation by learning using privileged information0
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation0
Unsupervised Domain Adaptation for Cross-Regional Scenes Person Re-identification0
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks0
From Images to Features: Unbiased Morphology Classification via Variational Auto-Encoders and Domain AdaptationCode0
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow0
Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation0
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers0
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
Self-Paced Learning for Open-Set Domain Adaptation0
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection0
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation0
Active Learning Based Domain Adaptation for Tissue Segmentation of Histopathological Images0
Effective Pseudo-Labeling based on Heatmap for Unsupervised Domain Adaptation in Cell DetectionCode0
You Only Crash Once: Improved Object Detection for Real-Time, Sim-to-Real Hazardous Terrain Detection and Classification for Autonomous Planetary Landings0
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from ImagesCode0
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization0
IDA: Informed Domain Adaptive Semantic Segmentation0
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain AdaptationCode0
Domain adaptation using optimal transport for invariant learning using histopathology datasetsCode0
Diagnosing Model Performance Under Distribution ShiftCode0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques0
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification0
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity0
Target Domain Data induces Negative Transfer in Mixed Domain Training with Disjoint Classes0
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic SegmentationCode0
UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Prediction0
Domain-adapted large language models for classifying nuclear medicine reports0
Towards domain generalisation in ASR with elitist sampling and ensemble knowledge distillation0
Federated Covariate Shift Adaptation for Missing Target Output Values0
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction0
Domain Adaptive Decision Trees: Implications for Accuracy and FairnessCode0
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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