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 38513900 of 6439 papers

TitleStatusHype
Synthetic-to-Real Domain Adaptation for Lane Detection0
Synthetic-to-Real Domain Adaptation using Contrastive Unpaired Translation0
Synthetic to Real Framework based on Convolutional Multi-Head Attention and Hybrid Domain Alignment0
Synthetic training data generation for deep learning based quality inspection0
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation0
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation0
Tackling Partial Domain Adaptation with Self-Supervision0
Tackling Sequence to Sequence Mapping Problems with Neural Networks0
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images0
TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification (Student Abstract)0
TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection0
Tagging Opinion Phrases and their Targets in User Generated Textual Reviews0
Tagging Performance Correlates with Author Age0
Tagging The Web: Building A Robust Web Tagger with Neural Network0
Tag-less Back-Translation0
Taking it further: leveraging pseudo labels for field delineation across label-scarce smallholder regions0
Target-agnostic Source-free Domain Adaptation for Regression Tasks0
Target-centered Subject Transfer Framework for EEG Data Augmentation0
Target Consistency for Domain Adaptation: when Robustness meets Transferability0
Target Domain Data induces Negative Transfer in Mixed Domain Training with Disjoint Classes0
Target-driven One-Shot Unsupervised Domain Adaptation0
Targeted Attention for Generalized- and Zero-Shot Learning0
Targeted display advertising: the case of preferential attachment0
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection0
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification0
Task-adaptive Pre-training of Language Models with Word Embedding Regularization0
Task-Discriminative Domain Alignment for Unsupervised Domain Adaptation0
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation0
Task Guided Compositional Representation Learning for ZDA0
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine0
TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors0
Teacher-Student Competition for Unsupervised Domain Adaptation0
Teacher-Student Domain Adaptation for Biosensor Models0
Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition0
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20210
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20220
Template-based Multi-Domain Face Recognition0
Temporal Convolution Domain Adaptation Learning for Crops Growth Prediction0
Temporal Hallucinating for Action Recognition With Few Still Images0
TempT: Temporal consistency for Test-time adaptation0
Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification0
Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT’s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task0
Testing-Time Adaptation through Online Normalization Estimation0
TeST: Test-time Self-Training under Distribution Shift0
Test-Time Adaptation and Adversarial Robustness0
Test-time adaptation for geospatial point cloud semantic segmentation with distinct domain shifts0
Test-Time Adaptation for Visual Document Understanding0
Test-time Batch Statistics Calibration for Covariate Shift0
Test-time Unsupervised Domain Adaptation0
Text Analysis Using Deep Neural Networks in Digital Humanities and Information Science0
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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