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 33013350 of 6439 papers

TitleStatusHype
Dual-Correction Adaptation Network for Noisy Knowledge Transfer0
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity RecognitionCode0
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
Adaptation of Surgical Activity Recognition Models Across Operating Rooms0
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
Semi-Perspective Decoupled Heatmaps for 3D Robot Pose Estimation from Depth Maps0
Cooperative Distribution Alignment via JSD Upper BoundCode0
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling0
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation ExtractionCode0
A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions0
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities0
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation0
Unsupervised Domain Adaptation for Question Generation with DomainData Selection and Self-training0
FAtNet: Cost-Effective Approach Towards Mitigating the Linguistic Bias in Speaker Verification SystemsCode0
Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models0
Improving Generalization of Hate Speech Detection Systems to Novel Target Groups via Domain Adaptation0
UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration0
STOP: A dataset for Spoken Task Oriented Semantic Parsing0
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification0
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI0
A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation0
Gradual Domain Adaptation via Normalizing FlowsCode0
Measuring the Feasibility of Analogical Transfer using Complexity0
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation0
A Simple Baseline for Domain Adaptation in End to End ASR Systems Using Synthetic Data0
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation LearningCode0
Multi-level Domain Adaptation for Lane Detection0
Distribution Regularized Self-Supervised Learning for Domain Adaptation of Semantic Segmentation0
Adaptive Domain Interest Network for Multi-domain Recommendation0
Boosting Cross-Domain Speech Recognition with Self-SupervisionCode0
Assessing the Value of Transfer Learning Metrics for RF Domain Adaptation0
EDITnet: A Lightweight Network for Unsupervised Domain Adaptation in Speaker Verification0
Test-Time Adaptation for Visual Document Understanding0
Residual Language Model for End-to-end Speech Recognition0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation0
Diffusion Transport Alignment0
Task Transfer and Domain Adaptation for Zero-Shot Question AnsweringCode0
Confidence-Guided Unsupervised Domain Adaptation for Cerebellum Segmentation0
Slimmable Domain AdaptationCode0
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition0
Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators0
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
Self-supervised Domain Adaptation in Crowd Counting0
Deep Learning Techniques for Visual Counting0
Show:102550
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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