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 42014250 of 6439 papers

TitleStatusHype
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus ShiftCode0
VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection0
Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation0
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching0
Multi-Target Domain Adaptation via Unsupervised Domain Classification for Weather Invariant Object Detection0
On Evolving Attention Towards Domain Adaptation0
Inferring Latent Domains for Unsupervised Deep Domain Adaptation0
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization0
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation0
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation0
Embracing the Disharmony in Medical Imaging: A Simple and Effective Framework for Domain Adaptation0
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning0
Gradient Regularized Contrastive Learning for Continual Domain Adaptation0
A Batch Normalization Classifier for Domain AdaptationCode0
Dynamic Weighted Learning for Unsupervised Domain Adaptation0
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management0
Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation0
TICaM: A Time-of-flight In-car Cabin Monitoring Dataset0
Unsupervised and self-adaptative techniques for cross-domain person re-identificationCode0
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation0
Computational Emotion Analysis From Images: Recent Advances and Future Directions0
ConDA: Continual Unsupervised Domain Adaptation0
An Efficient Method for the Classification of Croplands in Scarce-Label RegionsCode0
Quick Learning Mechanism with Cross-Domain Adaptation for Intelligent Fault Diagnosis0
Deep Learning for Chest X-ray Analysis: A Survey0
AI Fairness via Domain Adaptation0
Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation0
Comparing the Performance of NLP Toolkits and Evaluation measures in Legal Tech0
Multicalibrated Partitions for Importance Weights0
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss0
Regressive Domain Adaptation for Unsupervised Keypoint DetectionCode0
Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation0
Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic SegmentationCode0
MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection0
Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment0
Vicinal and categorical domain adaptationCode0
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving0
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning0
Learning Invariant Representations across Domains and Tasks0
Unsupervised Domain Adaptation Network with Category-Centric Prototype Aligner for Biomedical Image Segmentation0
Gradual Fine-Tuning for Low-Resource Domain AdaptationCode0
Domain Generalization: A Survey0
Pseudo-labeling for Scalable 3D Object Detection0
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation0
Fast Adaptation with Linearized Neural Networks0
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection0
Scalable Causal Domain AdaptationCode0
Domain Adapting Ability of Self-Supervised Learning for Face Recognition0
Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation0
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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