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 12011250 of 6439 papers

TitleStatusHype
DODA: Diffusion for Object-detection Domain Adaptation in AgricultureCode1
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
Domain Adaptation as a Problem of Inference on Graphical ModelsCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Learning Conditional Invariances through Non-CommutativityCode0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
Clustering Effect of (Linearized) Adversarial Robust ModelsCode0
Learning Across Tasks and DomainsCode0
Adaptation Algorithms for Neural Network-Based Speech Recognition: An OverviewCode0
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual PersistenceCode0
Clustered Federated Learning via Embedding DistributionsCode0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Cluster Alignment with a Teacher for Unsupervised Domain AdaptationCode0
Learnable Data Augmentation for One-Shot Unsupervised Domain AdaptationCode0
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot LearningCode0
LCT-1 at SemEval-2023 Task 10: Pre-training and Multi-task Learning for Sexism Detection and ClassificationCode0
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation ExtractionCode0
Language Identification with a Reciprocal Rank ClassifierCode0
Large-Scale Optimal Transport and Mapping EstimationCode0
Latent Space Regularization for Unsupervised Domain Adaptation in Semantic SegmentationCode0
An Unsupervised Neural Attention Model for Aspect ExtractionCode0
Label Alignment Regularization for Distribution ShiftCode0
KULeuven-LIIR at SemEval-2017 Task 12: Cross-Domain Temporal Information Extraction from Clinical RecordsCode0
KunquDB: An Attempt for Speaker Verification in the Chinese Opera ScenarioCode0
Label Noise: Ignorance Is BlissCode0
Known-class Aware Self-ensemble for Open Set Domain AdaptationCode0
A Client-server Deep Federated Learning for Cross-domain Surgical Image SegmentationCode0
Knowledge Mining and Transferring for Domain Adaptive Object DetectionCode0
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic SegmentationCode0
Class Overwhelms: Mutual Conditional Blended-Target Domain AdaptationCode0
Kneser-Ney Smoothing on Expected CountsCode0
Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data TransformationsCode0
Kernel Manifold AlignmentCode0
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-IdentificationCode0
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentationCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
K-Beam Minimax: Efficient Optimization for Deep Adversarial LearningCode0
Joint Progressive Knowledge Distillation and Unsupervised Domain AdaptationCode0
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the WildCode0
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NERCode0
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain AdaptationCode0
Joint-Optimized Unsupervised Adversarial Domain Adaptation in Remote Sensing Segmentation with Prompted Foundation ModelCode0
CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield ImagesCode0
Chunk-based Nearest Neighbor Machine TranslationCode0
"I've Heard of You!": Generate Spoken Named Entity Recognition Data for Unseen EntitiesCode0
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptationCode0
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its ApplicationsCode0
Fair Classification via Domain Adaptation: A Dual Adversarial Learning ApproachCode0
Joint Distribution Optimal Transportation for Domain AdaptationCode0
Is Modularity Transferable? A Case Study through the Lens of Knowledge DistillationCode0
Show:102550
← PrevPage 25 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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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