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 15011550 of 6439 papers

TitleStatusHype
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach0
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network0
EMN: Brain-inspired Elastic Memory Network for Quick Domain Adaptive Feature Mapping0
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective0
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision0
A Multi-Platform Annotation Ecosystem for Domain Adaptation0
A Brief Review of Domain Adaptation0
Domain Adaptation for Neural Networks by Parameter Augmentation0
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning0
A Multilingual BPE Embedding Space for Universal Sentiment Lexicon Induction0
BOUN at SemEval-2021 Task 9: Text Augmentation Techniques for Fact Verification in Tabular Data0
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding0
A Multi-Domain Translation Model Framework for Statistical Machine Translation0
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference0
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation0
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation0
Active Semantic Localization with Graph Neural Embedding0
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning0
Boosting Supervised Learning Performance with Co-training0
Domain adaptation for holistic skin detection0
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey0
Self-Paced Learning for Open-Set Domain Adaptation0
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation0
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier0
Abductive Reasoning as Self-Supervision for Common Sense Question Answering0
Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies0
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control0
Domain Adaptation for Facial Expression Classifier via Domain Discrimination and Gradient Reversal0
Boosting Cross-spectral Unsupervised Domain Adaptation for Thermal Semantic Segmentation0
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization0
Active Online Domain Adaptation0
Domain Adaptation For Formant Estimation Using Deep Learning0
Domain Adaptation for Hindi-Telugu Machine Translation Using Domain Specific Back Translation0
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts0
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task0
Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data0
Active Online Learning with Hidden Shifting Domains0
Book Reviews: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders S0
A market resilient data-driven approach to option pricing0
Domain Adaptation for Efficiently Fine-tuning Vision Transformer with Encrypted Images0
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting0
Block-As-Domain Adaptation for Workload Prediction from fNIRS Data0
A Manifold Approach to Learning Mutually Orthogonal Subspaces0
SNFinLLM: Systematic and Nuanced Financial Domain Adaptation of Chinese Large Language Models0
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation0
A Low-Cost Neural ODE with Depthwise Separable Convolution for Edge Domain Adaptation on FPGAs0
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB0
Domain Adaptation for Disease Phrase Matching with Adversarial Networks0
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation0
Domain Adaptation without Model Transferring0
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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