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 26512700 of 6439 papers

TitleStatusHype
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation0
Boosting Cross-Domain Speech Recognition with Self-SupervisionCode0
Adaptive Domain Interest Network for Multi-domain Recommendation0
Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy AutoencodersCode2
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled DataCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency ConsistencyCode2
Assessing the Value of Transfer Learning Metrics for RF Domain Adaptation0
A Closer Look at Smoothness in Domain Adversarial TrainingCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
Balancing Discriminability and Transferability for Source-Free Domain AdaptationCode1
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking ConsistencyCode1
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain AdaptationCode1
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood ForecastingCode1
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language ModelsCode1
Test-Time Adaptation for Visual Document Understanding0
Diffusion Transport Alignment0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation0
Unknown-Aware Domain Adversarial Learning for Open-Set Domain AdaptationCode1
EDITnet: A Lightweight Network for Unsupervised Domain Adaptation in Speaker Verification0
Residual Language Model for End-to-end Speech Recognition0
Confidence-Guided Unsupervised Domain Adaptation for Cerebellum Segmentation0
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition0
Task Transfer and Domain Adaptation for Zero-Shot Question AnsweringCode0
Slimmable Domain AdaptationCode0
Confidence Score for Source-Free Unsupervised Domain AdaptationCode1
Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators0
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics0
Unsupervised Foggy Scene Understanding via Self Spatial-Temporal Label DiffusionCode0
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation0
Fair Classification via Domain Adaptation: A Dual Adversarial Learning ApproachCode0
Deep Learning Techniques for Visual Counting0
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
Self-supervised Domain Adaptation in Crowd Counting0
Searching for Optimal Subword Tokenization in Cross-domain NERCode0
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training0
Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey0
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20210
On the Generalization of Wasserstein Robust Federated Learning0
Learning Unbiased Transferability for Domain Adaptation by Uncertainty ModelingCode0
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
Finding the Right Recipe for Low Resource Domain Adaptation in Neural Machine Translation0
Discovering Financial Hypernyms by Prompting Masked Language Models0
Transfer Learning Methods for Domain Adaptation in Technical Logbook Datasets0
An Analysis of Dialogue Act Sequence Similarity Across Multiple Domains0
Towards an Open-Source Dutch Speech Recognition System for the Healthcare Domain0
Evaluation of Transfer Learning and Domain Adaptation for Analyzing German-Speaking Job Advertisements0
Evaluating Tokenizers Impact on OOVs Representation with Transformers ModelsCode0
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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
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