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 30013050 of 6439 papers

TitleStatusHype
Data-Driven Offline Decision-Making via Invariant Representation Learning0
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification0
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification0
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels0
A Survey on Deep Hashing Methods0
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System0
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints0
IIE’s Neural Machine Translation Systems for WMT200
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes0
iKernels-Core: Tree Kernel Learning for Textual Similarity0
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning0
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation0
IlluSign: Illustrating Sign Language Videos by Leveraging the Attention Mechanism0
Image Alignment in Unseen Domains via Domain Deep Generalization0
Entropy-based Training Data Selection for Domain Adaptation0
Image Based Food Energy Estimation With Depth Domain Adaptation0
Image-based Synthesis for Deep 3D Human Pose Estimation0
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data0
Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation0
Image-to-image domain adaptation for vehicle re-identification0
Image to Image Translation for Domain Adaptation0
Image-to-Image Translation with Diffusion Transformers and CLIP-Based Image Conditioning0
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans0
Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentation0
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment0
Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization0
A Survey on Deep Domain Adaptation for LiDAR Perception0
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs0
Adversarial Learning for Zero-shot Domain Adaptation0
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation0
ISTRBoost: Importance Sampling Transfer Regression using Boosting0
Implicit Bayes Adaptation: A Collaborative Transport Approach0
Ensemble Multi-Source Domain Adaptation with Pseudolabels0
Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions0
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models0
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation0
Importance Weighted Adversarial Nets for Partial Domain Adaptation0
A2V: A Semi-Supervised Domain Adaptation Framework for Brain Vessel Segmentation via Two-Phase Training Angiography-to-Venography Translation0
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets0
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation0
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation0
A Dual-Purpose Deep Learning Model for Auscultated Lung and Tracheal Sound Analysis Based on Mixed Set Training0
Improved Factorized Neural Transducer Model For text-only Domain Adaptation0
Improved Generalization of Arabic Text Classifiers0
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy0
Improved Multi-Source Domain Adaptation by Preservation of Factors0
Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation0
Enhancing Visual Domain Adaptation with Source Preparation0
Frustratingly Easy Uncertainty Estimation for Distribution Shift0
Enhancing the Generalization Capability of Skin Lesion Classification Models with Active Domain Adaptation Methods0
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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