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 36013650 of 6439 papers

TitleStatusHype
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
Domain Adaptation via Bidirectional Cross-Attention Transformer0
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization0
Transferability in Deep Learning: A Survey0
Cost-Effective Training in Low-Resource Neural Machine Translation0
Domain-shift adaptation via linear transformationsCode0
Domain Adaptation in LiDAR Semantic Segmentation via Alternating Skip Connections and Hybrid Learning0
The Dark Side of the Language: Pre-trained Transformers in the DarkNet0
Self-semantic contour adaptation for cross modality brain tumor segmentation0
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation0
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift0
Unsupervised Domain Adaptive Person Re-id with Local-enhance and Prototype Dictionary Learning0
A Likelihood Ratio based Domain Adaptation Method for E2E Models0
Preserving Domain Private Representation via Mutual Information Maximization0
Deep Domain Adversarial Adaptation for Photon-efficient ImagingCode0
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images0
Enhancing Egocentric 3D Pose Estimation with Third Person ViewsCode0
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation0
Contrastive Regression for Domain Adaptation on Gaze Estimation0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels0
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation0
Generalizing Gaze Estimation With Rotation Consistency0
ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation0
Learning Video Representations of Human Motion From Synthetic Data0
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training0
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis0
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors0
Data-Free Knowledge Transfer: A Survey0
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification0
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation0
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification0
Unsupervised Domain Adaptation for Constraining Star Formation HistoriesCode0
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation0
Disentanglement by Cyclic ReconstructionCode0
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text SummarizationCode0
Pre-Training Transformers for Domain Adaptation0
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems0
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning0
UMAD: Universal Model Adaptation under Domain and Category Shift0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
Transferrable Contrastive Learning for Visual Domain Adaptation0
Maximum Bayes Smatch Ensemble Distillation for AMR ParsingCode0
A Survey of Unsupervised Domain Adaptation for Visual Recognition0
Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains0
Semi-supervised Domain Adaptive Structure LearningCode0
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis0
Self-Ensemling for 3D Point Cloud Domain Adaption0
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach0
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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