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 15511600 of 6439 papers

TitleStatusHype
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes0
BIT’s system for AutoSimulTrans20210
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
Domain Adaptation for Time series Transformers using One-step fine-tuning0
Domain Adaptation in Dialogue Systems using Transfer and Meta-Learning0
Domain adaptation for sequence labeling using hidden Markov models0
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation0
Domain Adaptation for Sparse-Data Settings: What Do We Gain by Not Using Bert?0
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation0
Adaptive Unbiased Teacher for Cross-Domain Object Detection0
Domain Adaptation for Sentiment Analysis using Keywords in the Target Domain as the Learning Weight0
Domain Adaptation for Statistical Machine Translation0
Biomedical Relation Classification by single and multiple source domain adaptation0
Adaptive Tree Wasserstein Minimization for Hierarchical Generative Modeling0
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification0
Deep Feature CycleGANs: Speaker Identity Preserving Non-parallel Microphone-Telephone Domain Adaptation for Speaker Verification0
Deep Face Detector Adaptation Without Negative Transfer or Catastrophic Forgetting0
Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification0
Domain Adaptation for Semantic Parsing0
Domain Adaptation for Structured Output via Disentangled Patch Representations0
Deep Domain Specialisation for single-model multi-domain learning to rank0
A Likelihood Ratio based Domain Adaptation Method for E2E Models0
Binary Losses for Density Ratio Estimation0
Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network0
Domain Adaptation for Resume Classification Using Convolutional Neural Networks0
Deep Domain Adaptive Object Detection: a Survey0
Deep Domain Adaptation under Deep Label Scarcity0
Align, Minimize and Diversify: A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition0
Deep domain adaptation for polyphonic melody extraction0
Deep Domain Adaptation for Pavement Crack Detection0
Bilingual Text-dependent Speaker Verification with Pre-trained Models for TdSV Challenge 20240
Deep face recognition with clustering based domain adaptation0
Adaptive Training Distributions with Scalable Online Bilevel Optimization0
Deep Feature Registration for Unsupervised Domain Adaptation0
BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation0
Deep Generative Domain Adaptation with Temporal Relation Knowledge for Cross-User Activity Recognition0
Deep Generative Domain Adaptation with Temporal Attention for Cross-User Activity Recognition0
Domain Adaptation for Robust Workload Level Alignment Between Sessions and Subjects using fNIRS0
Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces0
Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition0
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning0
Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition0
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images0
Birds of A Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation0
Bi-Shifting Auto-Encoder for Unsupervised Domain Adaptation0
Deep Learning Based Single Sample Per Person Face Recognition: A Survey0
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation0
Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes0
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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