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
Le corpus Sequoia : annotation syntaxique et exploitation pour l'adaptation d'analyseur par pont lexical (The Sequoia Corpus : Syntactic Annotation and Use for a Parser Lexical Domain Adaptation Method) [in French]0
Length of Stay prediction for Hospital Management using Domain Adaptation0
LENS: Localization enhanced by NeRF synthesis0
Less-forgetful Learning for Domain Expansion in Deep Neural Networks0
Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization0
Leveraging 2D Masked Reconstruction for Domain Adaptation of 3D Pose Estimation0
Leveraging Auxiliary Tasks for Document-Level Cross-Domain Sentiment Classification0
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift0
Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances0
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery0
Leveraging Data Mining, Active Learning, and Domain Adaptation in a Multi-Stage, Machine Learning-Driven Approach for the Efficient Discovery of Advanced Acidic Oxygen Evolution Electrocatalysts0
Leveraging Domain Adaptation and Data Augmentation to Improve Qur'anic IR in English and Arabic0
Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning0
Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models0
Leveraging Motion Priors in Videos for Improving Human Segmentation0
Leveraging Multiple Domains for Sentiment Classification0
Leveraging over intact priors for boosting control and dexterity of prosthetic hands by amputees0
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images0
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification0
Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection0
Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing Hallucination0
Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery0
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching0
LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation0
Lidar Upsampling with Sliced Wasserstein Distance0
Lifelong Change Detection: Continuous Domain Adaptation for Small Object Change Detection in Every Robot Navigation0
Lifelong Domain Adaptation via Consolidated Internal Distribution0
Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept0
LightSleepNet: Design of a Personalized Portable Sleep Staging System Based on Single-Channel EEG0
Lightweight Unsupervised Domain Adaptation by Convolutional Filter Reconstruction0
Limits of Model Selection under Transfer Learning0
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives0
LIMSI@WMT'15 : Translation Task0
LIMSI @ WMT 20200
Linear Mixture Models for Robust Machine Translation0
Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation0
Linking Named Entities to Any Database0
Lisbon: Evaluating TurboSemanticParser on Multiple Languages and Out-of-Domain Data0
LLEDA -- Lifelong Self-Supervised Domain Adaptation0
LLM4Brain: Training a Large Language Model for Brain Video Understanding0
LLMCount: Enhancing Stationary mmWave Detection with Multimodal-LLM0
LLMs are One-Shot URL Classifiers and Explainers0
LM-assisted keyword biasing with Aho-Corasick algorithm for Transducer-based ASR0
LMU Munich's Neural Machine Translation Systems at WMT 20180
Local-Global Pseudo-label Correction for Source-free Domain Adaptive Medical Image Segmentation0
Localising In Complex Scenes Using Balanced Adversarial Adaptation0
Localization in Dynamic Indoor MIMO-OFDM Wireless Systems using Domain Adaptation0
Location Recognition Over Large Time Lags0
LongChecker: Improving scientific claim verification by modeling full-abstract context0
Long-Term Vehicle Localization by Recursive Knowledge Distillation0
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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