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 26012650 of 6439 papers

TitleStatusHype
On the Generalization for Transfer Learning: An Information-Theoretic Analysis0
PAC-Bayesian Domain Adaptation Bounds for Multiclass LearnersCode0
Domain Gap Estimation for Source Free Unsupervised Domain Adaptation with Many Classifiers0
Discovering Domain Disentanglement for Generalized Multi-source Domain AdaptationCode0
Real-Time And Robust 3D Object Detection with Roadside LiDARs0
Gradual Domain Adaptation without Indexed Intermediate DomainsCode0
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity RecognitionCode0
Dual-Correction Adaptation Network for Noisy Knowledge Transfer0
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation0
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox0
Domain Alignment Meets Fully Test-Time AdaptationCode0
Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level RegularizationCode0
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition0
Harnessing Out-Of-Distribution Examples via Augmenting Content and StyleCode0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report0
Adaptation of Surgical Activity Recognition Models Across Operating Rooms0
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps0
Unsupervised Domain Adaptation through Shape Modeling for Medical Image SegmentationCode1
Unsupervised Manifold Alignment with Joint Multidimensional ScalingCode1
Cooperative Distribution Alignment via JSD Upper BoundCode0
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling0
Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised ApproachCode1
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions0
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation0
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities0
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation ExtractionCode0
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation0
Unsupervised Domain Adaptation for Question Generation with DomainData Selection and Self-training0
Generative Cross-Domain Data Augmentation for Aspect and Opinion Co-ExtractionCode1
FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification SystemsCode0
Adapting the Mean Teacher for keypoint-based lung registration under geometric domain shiftsCode1
Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models0
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image ClassificationCode1
Rethinking Unsupervised Domain Adaptation for Semantic SegmentationCode2
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration0
STOP: A dataset for Spoken Task Oriented Semantic Parsing0
MaNi: Maximizing Mutual Information for Nuclei Cross-Domain Unsupervised SegmentationCode1
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature AlignmentCode1
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification0
Learning with Weak Annotations for Robust Maritime Obstacle DetectionCode1
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation0
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI0
Gradual Domain Adaptation via Normalizing FlowsCode0
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You NeedCode1
Measuring the Feasibility of Analogical Transfer using Complexity0
A Simple Baseline for Domain Adaptation in End to End ASR Systems Using Synthetic Data0
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation0
Multi-level Domain Adaptation for Lane Detection0
Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh RecoveryCode1
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation LearningCode0
Show:102550
← PrevPage 53 of 129Next →

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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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