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 46514700 of 6439 papers

TitleStatusHype
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation0
Moment-Based Domain Adaptation: Learning Bounds and Algorithms0
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object RecognitionCode0
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide ImagesCode1
Unsupervised Vehicle Counting via Multiple Camera Domain Adaptation0
Class Distribution Alignment for Adversarial Domain Adaptation0
TriGAN: Image-to-Image Translation for Multi-Source Domain Adaptation0
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation0
IDDA: a large-scale multi-domain dataset for autonomous driving0
Generative Adversarial Networks for Video-to-Video Domain Adaptation0
Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-SupervisionCode1
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation0
Zero-Shot Compositional Policy Learning via Language GroundingCode1
StandardGAN: Multi-source Domain Adaptation for Semantic Segmentation of Very High Resolution Satellite Images by Data Standardization0
Self6D: Self-Supervised Monocular 6D Object Pose EstimationCode1
Multi-source Attention for Unsupervised Domain AdaptationCode1
Adversarial Style Mining for One-Shot Unsupervised Domain AdaptationCode1
Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images0
FDA: Fourier Domain Adaptation for Semantic SegmentationCode3
Classifying Constructive CommentsCode1
Deep Residual Correction Network for Partial Domain AdaptationCode0
Phase Consistent Ecological Domain AdaptationCode1
Towards Inheritable Models for Open-Set Domain AdaptationCode1
Universal Source-Free Domain AdaptationCode1
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation0
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching0
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
S2A: Wasserstein GAN with Spatio-Spectral Laplacian Attention for Multi-Spectral Band Synthesis0
Towards Reusable Network Components by Learning Compatible Representations0
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven ConversationCode1
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based ChatbotsCode1
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings0
Meta-Learning for Few-Shot NMT Adaptation0
Neuron Linear Transformation: Modeling the Domain Shift for Crowd CountingCode1
Unsupervised Domain Adaptation with Progressive Domain Augmentation0
Learning Pose-invariant 3D Object Reconstruction from Single-view ImagesCode0
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
Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open ProblemCode1
Gradually Vanishing Bridge for Adversarial Domain AdaptationCode1
Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training0
Adaptive Object Detection with Dual Multi-Label Prediction0
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation0
Show:102550
← PrevPage 94 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