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 47014750 of 6439 papers

TitleStatusHype
Unsupervised Sound Separation Using Mixture Invariant Training0
Feature Alignment and Restoration for Domain Generalization and Adaptation0
Text Recognition in Real Scenarios with a Few Labeled Samples0
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity0
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection0
Adversarial Transfer of Pose Estimation Regression0
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning0
Self-training Avoids Using Spurious Features Under Domain Shift0
DSDANet: Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection0
Mining Label Distribution Drift in Unsupervised Domain Adaptation0
Domain Adaptation with Morphologic Segmentation0
Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer0
Optimal Transport for Conditional Domain Matching and Label ShiftCode0
Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD)0
Domain Adaptation and Image Classification via Deep Conditional Adaptation Network0
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio EstimationCode0
Active Online Domain Adaptation0
Transferring and Regularizing Prediction for Semantic Segmentation0
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation0
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images0
Deep Learning Based Single Sample Per Person Face Recognition: A Survey0
Adversarial Feature DesensitizationCode0
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection0
Unsupervised Transfer Learning with Self-Supervised Remedy0
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression0
Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks0
Anomaly Detection with Domain Adaptation0
Weakly-Supervised Domain Adaptation via GAN and Mesh Model for Estimating 3D Hand Poses Interacting Objects0
Latent Domain Learning with Dynamic Residual Adapters0
Enhanced Transport Distance for Unsupervised Domain Adaptation0
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer0
Adaptation de domaine non supervis\'ee pour la reconnaissance de la langue par r\'egularisation d'un r\'eseau de neurones (Unsupervised domain adaptation for language identification by regularization of a neural network)0
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation0
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization0
Progressive Adversarial Networks for Fine-Grained Domain Adaptation0
Disparity-Aware Domain Adaptation in Stereo Image Restoration0
Structure Preserving Generative Cross-Domain Learning0
Global Distance-distributions Separation for Unsupervised Person Re-identification0
Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving0
Self-adaptive Re-weighted Adversarial Domain Adaptation0
Unsupervised learning of multimodal image registration using domain adaptation with projected Earth Move's discrepancies0
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation0
Balanced joint maximum mean discrepancy for deep transfer learningCode0
Unsupervised Domain Expansion from Multiple Sources0
Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation0
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mappingCode0
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization0
Discriminative Active Learning for 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