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 45014550 of 6439 papers

TitleStatusHype
Knowledge distillation for semi-supervised domain adaptation0
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains0
Knowledge Distillation of Domain-adapted LLMs for Question-Answering in Telecom0
Knowledge Distillation Under Ideal Joint Classifier Assumption0
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving0
Knowledge Guided Learning: Towards Open Domain Egocentric Action Recognition with Zero Supervision0
Knowledge-inspired Subdomain Adaptation for Cross-Domain Knowledge Transfer0
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection0
Knowledge Transfer between Buildings for Seismic Damage Diagnosis through Adversarial Learning0
Koos Classification of Vestibular Schwannoma via Image Translation-Based Unsupervised Cross-Modality Domain Adaptation0
KRNet: Towards Efficient Knowledge Replay0
Label Calibration in Source Free Domain Adaptation0
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation0
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection0
Label-Noise Robust Domain Adaptation0
Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition0
Label-Synchronous Neural Transducer for End-to-End ASR0
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings0
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation0
LAGUNA: LAnguage Guided UNsupervised Adaptation with structured spaces0
LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and Manifold Learning for RUL Prediction0
LanDA: Language-Guided Multi-Source Domain Adaptation0
Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation0
LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation0
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization0
Language adaptation experiments via cross-lingual embeddings for related languages0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation0
Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition0
Language Modelling Approaches to Adaptive Machine Translation0
Language Resource Addition: Dictionary or Corpus?0
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model0
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior0
Large Language Models for Bioinformatics0
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning0
Large-Scale Domain Adaptation via Teacher-Student Learning0
Large Scale Optimal Transport and Mapping Estimation0
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency0
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning0
Large SMT data-sets extracted from Wikipedia0
Latent Alignment with Deep Set EEG Decoders0
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition0
Latent Domain Learning with Dynamic Residual Adapters0
Latent Domain Phrase-based Models for Adaptation0
Latin-Spanish Neural Machine Translation: from the Bible to Saint Augustine0
Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks0
Learn2Weight: Weights Transfer Defense against Similar-domain Adversarial Attacks0
Learn by Guessing: Multi-Step Pseudo-Label Refinement for Person Re-Identification0
Learning Adaptive Dense Event Stereo From the Image Domain0
Learning a Domain-Agnostic Visual Representation for Autonomous Driving via Contrastive Loss0
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment0
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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