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 43514400 of 6439 papers

TitleStatusHype
A Novel Domain Adaptation Framework for Medical Image Segmentation0
Provably Uncertainty-Guided Universal Domain Adaptation0
A novel health risk model based on intraday physical activity time series collected by smartphones0
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks0
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification0
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment0
Anticipatory Understanding of Resilient Agriculture to Climate0
An Unsupervised Domain Adaptation Method for Locating Manipulated Region in partially fake Audio0
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training0
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions0
An Unsupervised System for Parallel Corpus Filtering0
A Parametric Top-View Representation of Complex Road Scenes0
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task0
A physics-based domain adaptation framework for modelling and forecasting building energy systems0
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization0
A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation0
Appearance Based Deep Domain Adaptation for the Classification of Aerial Images0
Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection0
Application of Unsupervised Domain Adaptation for Structural MRI Analysis0
Applications of Large Language Model Reasoning in Feature Generation0
Applications of Semantic Publishing0
Applied monocular reconstruction of parametric faces with domain engineering0
Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over0
Applying Pairwise Ranked Optimisation to Improve the Interpolation of Translation Models0
Approaches for enhancing extrapolability in process-based and data-driven models in hydrology0
Approximately optimal domain adaptation with Fisher's Linear Discriminant0
A Primer on Domain Adaptation0
A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique0
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis0
Arabic Dialect Identification Using BERT-Based Domain Adaptation0
Arabic Tweets Treebanking and Parsing: A Bootstrapping Approach0
Arbitrary Style Transfer using Graph Instance Normalization0
A Real-Time Framework for Domain-Adaptive Underwater Object Detection with Image Enhancement0
A Reinforcement Learning Framework for Online Speaker Diarization0
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images0
A review of technical factors to consider when designing neural networks for semantic segmentation of Earth Observation imagery0
argmax centroid0
Argument Mining: Extracting Arguments from Online Dialogue0
A Riemannian Approach to Ground Metric Learning for Optimal Transport0
A Robust Anti-noise Scheme for RF Fingerprint Identification0
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes0
Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends0
Artistic Domain Generalisation Methods are Limited by their Deep Representations0
Artistic Object Recognition by Unsupervised Style Adaptation0
A Sample Selection Approach for Universal Domain Adaptation0
A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles0
A Self-learning Template Approach for Recognizing Named Entities from Web Text0
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics0
A Simple Baseline for Domain Adaptation in End to End ASR Systems Using Synthetic Data0
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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