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 27012750 of 6439 papers

TitleStatusHype
Transfer Learning Methods for Domain Adaptation in Technical Logbook Datasets0
Downstream Task Performance of BERT Models Pre-Trained Using Automatically De-Identified Clinical Data0
Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text SummarizationCode0
Domain Adaptation for Deep Entity Resolution: A Design Space ExplorationCode1
IDANI: Inference-time Domain Adaptation via Neuron-level InterventionsCode0
CLIP4IDC: CLIP for Image Difference CaptioningCode1
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation0
A Unified Multi-Task Semantic Communication System with Domain Adaptation0
Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment0
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection0
Domain Adaptation for Neural Machine Translation0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars0
Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies0
Variational Transfer Learning using Cross-Domain Latent Modulation0
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation ModelsCode0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification0
Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation0
Connecting adversarial attacks and optimal transport for domain adaptation0
Prompt-aligned Gradient for Prompt TuningCode1
Few-Shot Adaptation of Pre-Trained Networks for Domain ShiftCode0
Unbalanced CO-Optimal Transport0
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain AdaptationCode1
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box PredictorsCode1
Deep face recognition with clustering based domain adaptation0
Improving Road Segmentation in Challenging Domains Using Similar Place Priors0
Cycle Label-Consistent Networks for Unsupervised Domain Adaptation0
Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning0
kNN-Prompt: Nearest Neighbor Zero-Shot InferenceCode1
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement0
Pick up the PACE: Fast and Simple Domain Adaptation via Ensemble Pseudo-LabelingCode1
Unsupervised Reinforcement Adaptation for Class-Imbalanced Text ClassificationCode0
An Investigation on Applying Acoustic Feature Conversion to ASR of Adult and Child Speech0
Domain Adaptation for Object Detection using SE Adaptors and Center LossCode0
Factorizing Content and Budget Decisions in Abstractive Summarization of Long DocumentsCode1
Semi-supervised Drifted Stream Learning with Short Lookback0
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and DetectionCode0
Chunk-based Nearest Neighbor Machine TranslationCode0
Sim-To-Real Transfer of Visual Grounding for Human-Aided Ambiguity Resolution0
On statistic alignment for domain adaptation in structural health monitoringCode0
Towards Model Generalization for Monocular 3D Object Detection0
Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense RetrievalCode1
Local Byte Fusion for Neural Machine TranslationCode0
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation0
KRNet: Towards Efficient Knowledge Replay0
Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation0
Non-Parametric Domain Adaptation for End-to-End Speech TranslationCode1
Active Source Free Domain Adaptation0
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation0
Explainable Supervised Domain Adaptation0
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection0
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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