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 29012950 of 6439 papers

TitleStatusHype
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data0
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning0
Preserving Fairness in AI under Domain Shift0
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20220
Decentralized Entropic Optimal Transport for Distributed Distribution Comparison0
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning0
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object TrackingCode0
ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition0
Low-Resource Compositional Semantic Parsing with Concept Pretraining0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach0
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification0
Robot Skill Learning Via Classical Robotics-Based Generated Datasets: Advantages, Disadvantages, and Future ImprovementCode0
Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation0
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its ApplicationsCode0
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement0
Vision Based Machine Learning Algorithms for Out-of-Distribution Generalisation0
Inference via robust optimal transportation: theory and methods0
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition0
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification TrackCode0
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection TrackCode0
Semi-Supervised Learning with Pseudo-Negative Labels for Image ClassificationCode0
CDA: Contrastive-adversarial Domain Adaptation0
Simplifying Open-Set Video Domain Adaptation with Contrastive LearningCode0
Using External Off-Policy Speech-To-Text Mappings in Contextual End-To-End Automated Speech Recognition0
Tackling Data Bias in Painting Classification with Style TransferCode0
High-level semantic feature matters few-shot unsupervised domain adaptation0
MSCDA: Multi-level Semantic-guided Contrast Improves Unsupervised Domain Adaptation for Breast MRI Segmentation in Small DatasetsCode0
Heterogeneous Domain Adaptation and Equipment Matching: DANN-based Alignment with Cyclic Supervision (DBACS)0
Generative appearance replay for continual unsupervised domain adaptation0
Continual Causal Effect Estimation: Challenges and Opportunities0
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation0
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation0
MOT: Masked Optimal Transport for Partial Domain Adaptation0
OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation0
Learning Adaptive Dense Event Stereo From the Image Domain0
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation0
Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning0
Discriminative Radial Domain AdaptationCode0
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation0
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One ClassifierCode0
TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers0
Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality AssessmentCode0
LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding0
Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain AdaptationCode0
Homeomorphism Alignment for Unsupervised Domain AdaptationCode0
DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery0
Robust Domain Adaptive Object Detection with Unified Multi-Granularity AlignmentCode0
Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution AlignmentCode0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training0
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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