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 22012250 of 6439 papers

TitleStatusHype
3DGazeNet: Generalizing Gaze Estimation with Weak-Supervision from Synthetic ViewsCode1
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point CloudCode1
Union-set Multi-source Model Adaptation for Semantic SegmentationCode1
Addressing Distribution Shift at Test Time in Pre-trained Language Models0
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight0
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation0
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection0
Towards Scene Understanding for Autonomous Operations on Airport ApronsCode1
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey0
Contrastive Domain Adaptation for Time-Series via Temporal MixupCode1
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation0
Continual Learning for On-Device Speech Recognition using Disentangled Conformers0
Zero-Shot Rumor Detection with Propagation Structure via Prompt LearningCode1
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems0
MIC: Masked Image Consistency for Context-Enhanced Domain AdaptationCode2
D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation0
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
Geometry-Aware Network for Domain Adaptive Semantic Segmentation0
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D DetectionCode1
CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars0
Multi-Source Survival Domain AdaptationCode0
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-TrainingCode0
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks0
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection0
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images0
Soft Alignment Objectives for Robust Adaptation of Language GenerationCode0
MoDA: Map style transfer for self-supervised Domain Adaptation of embodied agents0
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model0
PyTorch AdaptCode4
A Visual Active Search Framework for Geospatial ExplorationCode0
Task-Aware Asynchronous Multi-Task Model with Class Incremental Contrastive Learning for Surgical Scene UnderstandingCode0
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation0
Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic SegmentationCode1
Towards Realistic Underwater Dataset Generation and Color RestorationCode0
Label Alignment Regularization for Distribution ShiftCode0
Instance-level Heterogeneous Domain Adaptation for Limited-labeled Sketch-to-Photo RetrievalCode0
DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple DomainsCode1
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity RecognitionCode1
Unsupervised Continual Semantic Adaptation through Neural RenderingCode1
Target-centered Subject Transfer Framework for EEG Data Augmentation0
Emotion-guided Cross-domain Fake News Detection using Adversarial Domain Adaptation0
Object Detection in Foggy Scenes by Embedding Depth and Reconstruction into Domain AdaptationCode1
Sparse2Dense: Learning to Densify 3D Features for 3D Object DetectionCode1
FLAIR #1: semantic segmentation and domain adaptation datasetCode1
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes0
Pred&Guide: Labeled Target Class Prediction for Guiding Semi-Supervised Domain AdaptationCode0
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse ConditionsCode1
Anatomy-guided domain adaptation for 3D in-bed human pose estimationCode1
Show:102550
← PrevPage 45 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
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