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 43514400 of 6439 papers

TitleStatusHype
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation via Discriminative Manifold Propagation0
Online Visual Tracking with One-Shot Context-Aware Domain Adaptation0
Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples0
Domain Adaptation of Learned Features for Visual Localization0
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift0
Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation0
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation0
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object DetectorCode1
Cross-Domain Identification for Thermal-to-Visible Face RecognitionCode0
Virtual Adversarial Training in Feature Space to Improve Unsupervised Video Domain Adaptation0
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature AlignmentCode0
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer0
Unsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer0
Siloed Federated Learning for Multi-Centric Histopathology Datasets0
Source Free Domain Adaptation with Image Translation0
First U-Net Layers Contain More Domain Specific Information Than The Last OnesCode0
We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain AdaptationCode1
Adaptation Algorithms for Neural Network-Based Speech Recognition: An OverviewCode0
Adaptable Multi-Domain Language Model for Transformer ASR0
On Localized Discrepancy for Domain Adaptation0
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled VideosCode0
Network Architecture Search for Domain Adaptation0
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose EstimationCode0
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations0
Co-training for On-board Deep Object Detection0
Learning to Cluster under Domain ShiftCode1
Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid NetworksCode1
Hard Class Rectification for Domain AdaptationCode0
Associative Partial Domain Adaptation0
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial NetworkCode1
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GANCode1
Class-Incremental Domain Adaptation0
Simultaneous Semantic Alignment Network for Heterogeneous Domain AdaptationCode1
Shape Consistent 2D Keypoint Estimation under Domain Shift0
Learning from a Complementary-label Source Domain: Theory and AlgorithmsCode0
An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural SitesCode1
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders0
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data0
Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph LearningCode1
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic LanguagesCode0
Discriminative Partial Domain Adversarial Network0
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data0
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning0
Mind the Discriminability: Asymmetric Adversarial Domain Adaptation0
HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation0
Multi-Source Open-Set Deep Adversarial Domain Adaptation0
Monocular 3D Object Detection via Feature Domain Adaptation0
Content-Consistent Matching for Domain Adaptive Semantic SegmentationCode1
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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