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 21012150 of 6439 papers

TitleStatusHype
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement0
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
The CropAndWeed Dataset: A Multi-Modal Learning Approach for Efficient Crop and Weed ManipulationCode1
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
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation0
Continual Causal Effect Estimation: Challenges and Opportunities0
Generative appearance replay for continual unsupervised domain adaptation0
SSDA: Secure Source-Free Domain AdaptationCode0
PODA: Prompt-driven Zero-shot Domain AdaptationCode1
Text-Driven Generative Domain Adaptation with Spectral Consistency RegularizationCode0
CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic SegmentationCode1
Homeomorphism Alignment for Unsupervised Domain AdaptationCode0
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy0
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One ClassifierCode0
Towards Better Robustness against Common Corruptions for Unsupervised Domain AdaptationCode0
Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality AssessmentCode0
Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain AdaptationCode0
DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization0
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training0
LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding0
TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers0
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation0
Fine-grained Unsupervised Domain Adaptation for Gait Recognition0
Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery0
Single Domain Generalization for LiDAR Semantic SegmentationCode1
Source-Free Adaptive Gaze Estimation by Uncertainty ReductionCode1
DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram MatricesCode1
COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport0
MOT: Masked Optimal Transport for Partial Domain Adaptation0
Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive LearningCode1
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation0
Adjustment and Alignment for Unbiased Open Set Domain AdaptationCode1
Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning0
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation0
Learning Adaptive Dense Event Stereo From the Image Domain0
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic SegmentationCode1
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic SegmentationCode1
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural RepresentationsCode0
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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