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 19011950 of 6439 papers

TitleStatusHype
Domain Adaptation in Highly Imbalanced and Overlapping Datasets0
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions0
Domain Adaptation in MT Using Titles in Wikipedia as a Parallel Corpus: Resources and Evaluation0
Certainty and Uncertainty Guided Active Domain Adaptation0
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification0
Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval0
Domain Adaptation in Neural Machine Translation using a Qualia-Enriched FrameNet0
Domain adaptation in practice: Lessons from a real-world information extraction pipeline0
End-to-End Lip Reading in Romanian with Cross-Lingual Domain Adaptation and Lateral Inhibition0
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation0
Domain adaptation in small-scale and heterogeneous biological datasets0
Domain Adaptation: Learning Bounds and Algorithms0
Domain Adaptation Meets Disentangled Representation Learning and Style Transfer0
Domain Adaptation meets Individual Fairness. And they get along0
Beyond Sharing Weights for Deep Domain Adaptation0
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation0
Domain adaptation model for retinopathy detection from cross-domain OCT images0
Domain Adaptation of a Dependency Parser with a Class-Class Selectional Preference Model0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 20
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations0
Domain Adaptation of Automated Treatment Planning from Computed Tomography to Magnetic Resonance0
Domain Adaptation of Coreference Resolution for Radiology Reports0
Domain Adaptation of Document-Level NMT in IWSLT190
Adaptive Object Detection with Dual Multi-Label Prediction0
Domain Adaptation of Foundation LLMs for e-Commerce0
Domain Adaptation of Learned Features for Visual Localization0
Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation0
Domain Adaptation of low-resource Target-Domain models using well-trained ASR Conformer Models0
Domain Adaptation of Machine Translation with Crowdworkers0
Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer0
Domain Adaptation of Multilingual Semantic Search - Literature Review0
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection0
Domain Adaptation of NMT models for English-Hindi Machine Translation Task at AdapMT ICON 20200
Domain Adaptation of NMT models for English-Hindi Machine Translation Task : AdapMT Shared Task ICON 20200
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation0
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding0
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity0
Domain-adaptation of spherical embeddings0
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight0
Domain Adaptation of Synthetic Driving Datasets for Real-World Autonomous Driving0
Beyond Photo Realism for Domain Adaptation from Synthetic Data0
Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback0
Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP0
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling0
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images0
Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm0
A Learner Corpus-based Approach to Verb Suggestion for ESL0
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation0
Domain Adaptation on the Statistical Manifold0
Dual-Teacher: Integrating Intra-domain and Inter-domain Teachers for Annotation-efficient Cardiac Segmentation0
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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