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 62516300 of 6439 papers

TitleStatusHype
Learning to See Low-Light Images via Feature Domain Adaptation0
Learning to smell for wellness0
Learning to Transfer with von Neumann Conditional Divergence0
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation0
Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models0
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training0
Learning Transferable Features for Speech Emotion Recognition0
Learning Transferrable Representations for Unsupervised Domain Adaptation0
Learning unbiased features0
Learning under Covariate Shift for Domain Adaptation for Word Sense Disambiguation0
Learning Video Representations of Human Motion From Synthetic Data0
Learning Vision-based Flight in Drone Swarms by Imitation0
Learning Weighted Representations for Generalization Across Designs0
Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction0
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains0
Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models0
Learn to Adapt for Monocular Depth Estimation0
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
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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