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 46014650 of 6439 papers

TitleStatusHype
Information-theoretic analysis for transfer learning0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation0
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks0
Joint Progressive Knowledge Distillation and Unsupervised Domain AdaptationCode0
Partial Domain Adaptation Using Graph Convolutional Networks0
Domain Conditioned Adaptation NetworkCode1
DAugNet: Unsupervised, Multi-source, Multi-target, and Life-long Domain Adaptation for Semantic Segmentation of Satellite Images0
Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level AligningCode1
From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning0
Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing0
Target-Independent Domain Adaptation for WBC Classification using Generative Latent SearchCode1
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain AdaptationCode0
VIDIT: Virtual Image Dataset for Illumination TransferCode1
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation0
Class-Aware Domain Adaptation for Improving Adversarial Robustness0
Domain Adaptation for Image DehazingCode1
Sparsely-Labeled Source Assisted Domain Adaptation0
Source-Relaxed Domain Adaptation for Image SegmentationCode1
Domain Adaptation in Highly Imbalanced and Overlapping Datasets0
Quantum correlation alignment for unsupervised domain adaptationCode0
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weightingCode1
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysisCode1
Domain Adaptive Multibranch Networks0
Content-Equivalent Translated Parallel News Corpus and Extension of Domain Adaptation for NMT0
Cross-Domain Evaluation of Edge Detection for Biomedical Event Extraction0
SEDAR: a Large Scale French-English Financial Domain Parallel CorpusCode0
Embedding Space Correlation as a Measure of Domain Similarity0
Latin-Spanish Neural Machine Translation: from the Bible to Saint Augustine0
We Need to Talk About Random SplitsCode0
Adversarial domain adaptation to reduce sample bias of a high energy physics classifier0
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19Code1
Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation0
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching0
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation0
Fact or Fiction: Verifying Scientific ClaimsCode1
Towards Accurate and Robust Domain Adaptation under Noisy EnvironmentsCode1
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training0
Maximum Density Divergence for Domain AdaptationCode1
Federated Transfer Learning for EEG Signal ClassificationCode1
Cross-Domain Structure Preserving Projection for Heterogeneous Domain AdaptationCode1
L-Vector: Neural Label Embedding for Domain Adaptation0
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification0
Expanding Sparse Guidance for Stereo Matching0
Explicit Domain Adaptation with Loosely Coupled Samples0
A survey on domain adaptation theory: learning bounds and theoretical guarantees0
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation0
Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental ProtocolCode1
Metric-Learning-Assisted Domain Adaptation0
UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection0
A Cycle GAN Approach for Heterogeneous Domain Adaptation in Land Use Classification0
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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