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 29513000 of 6439 papers

TitleStatusHype
A Survey on Optimal Transport for Machine Learning: Theory and Applications0
Estimating Causal Effects of Text Interventions Leveraging LLMs0
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation0
How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection0
How to Avoid Unwanted Pregnancies: Domain Adaptation using Neural Network Models0
How useful is photo-realistic rendering for visual learning?0
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation0
Adversarially Masked Video Consistency for Unsupervised Domain Adaptation0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification0
Integrated Tools for Query-driven Development of Light-weight Ontologies and Information Extraction Components0
Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task0
Human Activity Recognition with Low-Resolution Infrared Array Sensor Using Semi-supervised Cross-domain Neural Networks for Indoor Environment0
ErrorNet: Learning error representations from limited data to improve vascular segmentation0
Human-Centric Transformer for Domain Adaptive Action Recognition0
A survey on domain adaptation theory: learning bounds and theoretical guarantees0
HuRIC: a Human Robot Interaction Corpus0
HwTscSU’s Submissions on WAT 2022 Shared Task0
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation0
HybridCVLNet: A Hybrid CSI Feedback System and its Domain Adaptation0
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id0
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation0
Hybrid Method of Semi-supervised Learning and Feature Weighted Learning for Domain Adaptation of Document Classification0
HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction0
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis0
Contrastive Adversarial Training for Unsupervised Domain Adaptation0
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning0
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift0
On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical Proximity0
Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation0
EPOpt: Learning Robust Neural Network Policies Using Model Ensembles0
Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition0
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation0
Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI0
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease0
Instant Domain Augmentation for LiDAR Semantic Segmentation0
I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation0
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences0
Data Augmentation and Resolution Enhancement using GANs and Diffusion Models for Tree Segmentation0
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation0
ICPR 2024 Competition on Domain Adaptation and GEneralization for Character Classification (DAGECC)0
Integrating Contrastive Learning into a Multitask Transformer Model for Effective Domain Adaptation0
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction0
IDDA: a large-scale multi-domain dataset for autonomous driving0
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2021: Team M3EM Technical Report0
Identifying Key Concepts from EHR Notes Using Domain Adaptation0
A Survey on Deep Hashing Methods0
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints0
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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
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