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 26512700 of 6439 papers

TitleStatusHype
Domain Adaptation for Robust Workload Level Alignment Between Sessions and Subjects using fNIRS0
Causal Generative Domain Adaptation Networks0
Domain Adaptation for Resume Classification Using Convolutional Neural Networks0
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network0
Domain Adaptation for Reinforcement Learning on the Atari0
Domain Adaptation for Real-World Single View 3D Reconstruction0
Causal Embeddings for Recommendation: An Extended Abstract0
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation0
Domain Adaptation for Rare Classes Augmented with Synthetic Samples0
Causal Effect Variational Autoencoder with Uniform Treatment0
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network0
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context0
Domain adaptation for part-of-speech tagging of noisy user-generated text0
Domain Adaptation for Parsing0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis0
Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss0
Domain Adaptation for Offline Reinforcement Learning with Limited Samples0
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction0
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs0
A Dependency Parser for Tweets0
AdAM: Few-Shot Image Generation via Adaptation-Aware Kernel Modulation0
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography0
Domain Adaptation for NMT via Filtered Iterative Back-Translation0
Domain Adaptation for Neural Networks by Parameter Augmentation0
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation0
Domain Adaptation for Neural Machine Translation0
Domain Adaptation for Named Entity Recognition Using CRFs0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement0
Angular Visual Hardness0
Domain Adaptation for MT: A Study with Unknown and Out-of-Domain Tasks0
Domain Adaptation for Medical Text Translation using Web Resources0
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification0
Domain Adaptation for Medical Image Analysis: A Survey0
Adversarial Transfer Learning for Cross-domain Visual Recognition0
Domain Adaptation for Low-Resource Neural Semantic Parsing0
Domain Adaptation for Learning Generator from Paired Few-Shot Data0
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection0
An Exercise in Reuse of Resources: Adapting General Discourse Coreference Resolution for Detecting Lexical Chains in Patent Documentation0
ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation0
Domain Adaptation for Large-Vocabulary Object Detectors0
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts0
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey0
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference0
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection0
Domain adaptation for holistic skin detection0
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation0
A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines0
Domain Adaptation for Hindi-Telugu Machine Translation Using Domain Specific Back Translation0
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities0
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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