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 48014850 of 6439 papers

TitleStatusHype
Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images0
Deep Residual Correction Network for Partial Domain AdaptationCode0
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation0
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching0
Towards Reusable Network Components by Learning Compatible Representations0
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis0
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings0
Meta-Learning for Few-Shot NMT Adaptation0
Learning Pose-invariant 3D Object Reconstruction from Single-view ImagesCode0
Unsupervised Domain Adaptation with Progressive Domain Augmentation0
Handling new target classes in semantic segmentation with domain adaptationCode0
Tracking by Instance Detection: A Meta-Learning Approach0
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation0
Learning Agile Robotic Locomotion Skills by Imitating Animals0
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation0
Learning Cross-domain Semantic-Visual Relationships for Transductive Zero-Shot Learning0
Semantic Domain Adversarial Networks for Unsupervised Domain Adaptation0
Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training0
Adaptive Object Detection with Dual Multi-Label Prediction0
Mutual Learning Network for Multi-Source Domain Adaptation0
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation0
One-Shot Domain Adaptation For Face Generation0
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images0
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement0
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution AlignmentCode0
Learning transferable and discriminative features for unsupervised domain adaptation0
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation0
Prior Knowledge Driven Label Embedding for Slot Filling in Natural Language Understanding0
Unsupervised Latent Space Translation Network0
Domain Adaptation by Class Centroid Matching and Local Manifold Self-LearningCode0
Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection0
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels0
Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously0
Teacher-Student Domain Adaptation for Biosensor Models0
A Label Proportions Estimation Technique for Adversarial Domain Adaptation in Text Classification0
Domain Adaptive Ensemble Learning0
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency0
Class Conditional Alignment for Partial Domain Adaptation0
Investigating Generalization in Neural Networks under Optimally Evolved Training PerturbationsCode0
ASR Error Correction and Domain Adaptation Using Machine Translation0
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains0
Semantic Segmentation of highly class imbalanced fully labelled 3D volumetric biomedical images and unsupervised Domain Adaptation of the pre-trained Segmentation Network to segment another fully unlabelled Biomedical 3D Image stack0
Fisher Deep Domain AdaptationCode0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation0
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift0
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images0
Context-Aware Domain Adaptation in Semantic Segmentation0
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay0
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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