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 29513000 of 6439 papers

TitleStatusHype
Amazon Alexa AI’s System for IWSLT 2022 Offline Speech Translation Shared Task0
Deep Spherical Manifold Gaussian Kernel for Unsupervised Domain Adaptation0
Deep Spectro-temporal Artifacts for Detecting Synthesized Speech0
Deep Siamese Domain Adaptation Convolutional Neural Network for Cross-domain Change Detection in Multispectral Images0
Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning0
Book Reviews: Semi-Supervised Learning and Domain Adaptation in Natural Language Processing by Anders S0
A market resilient data-driven approach to option pricing0
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time0
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation0
Deep Prototypical Networks Based Domain Adaptation for Fault Diagnosis0
Deep multi-Wasserstein unsupervised domain adaptation0
Deep Multi-Task Networks For Occluded Pedestrian Pose Estimation0
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
Deep multi-task learning with low level tasks supervised at lower layers0
Deep Medical Image Analysis with Representation Learning and Neuromorphic Computing0
Deep Learning Techniques for Visual Counting0
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
Deep Learning Prototype Domains for Person Re-Identification0
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images0
Black-box Source-free Domain Adaptation via Two-stage Knowledge Distillation0
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives0
Domain Adaptation without Model Transferring0
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes0
Deep Learning for Chest X-ray Analysis: A Survey0
BIT’s system for AutoSimulTrans20210
Deep learning-enabled prediction of surgical errors during cataract surgery: from simulation to real-world application0
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets0
Bi-Transferring Deep Neural Networks for Domain Adaptation0
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation0
Adaptive Wasserstein Hourglass for Weakly Supervised Hand Pose Estimation from Monocular RGB0
Active Online Learning with Hidden Shifting Domains0
Abductive Reasoning as Self-Supervision for Common Sense Question Answering0
Deep Learning Based Single Sample Per Person Face Recognition: A Survey0
Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation0
Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition0
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces0
Adaptive Unbiased Teacher for Cross-Domain Object Detection0
Deep Generative Domain Adaptation with Temporal Attention for Cross-User Activity Recognition0
Biomedical Relation Classification by single and multiple source domain adaptation0
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition0
BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation0
Deep Feature Registration for Unsupervised Domain Adaptation0
Deep Feature CycleGANs: Speaker Identity Preserving Non-parallel Microphone-Telephone Domain Adaptation for Speaker Verification0
Deep face recognition with clustering based domain adaptation0
Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting0
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification0
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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