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 36513700 of 6439 papers

TitleStatusHype
Sentiment-Aspect Extraction based on Restricted Boltzmann Machines0
Sentiment Domain Adaptation with Multiple Sources0
Sentiment recognition of Italian elderly through domain adaptation on cross-corpus speech dataset0
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation0
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization0
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition0
Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis0
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains0
SEREP: Semantic Facial Expression Representation for Robust In-the-Wild Capture and Retargeting0
Service Composition Scenarios for Task-Oriented Translation0
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation0
Shallow Domain Adaptive Embeddings for Sentiment Analysis0
Shallow Semantically-Informed PBSMT and HPBSMT0
Shape Consistent 2D Keypoint Estimation under Domain Shift0
Shifting Weights: Adapting Object Detectors from Image to Video0
Shift-Robust Node Classification via Graph Adversarial Clustering0
Ship classification from overhead imagery using synthetic data and domain adaptation0
Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model0
Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention0
Shuffle and Attend: Video Domain Adaptation0
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation0
Siamese x-vector reconstruction for domain adapted speaker recognition0
Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation0
SIGTYP 2021 Shared Task: Robust Spoken Language Identification0
Siloed Federated Learning for Multi-Centric Histopathology Datasets0
Sim2Real for Self-Supervised Monocular Depth and Segmentation0
Similarity-based data mining for online domain adaptation of a sonar ATR system0
Similarity Based Genre Identification for POS Tagging Experts \& Dependency Parsing0
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation0
Similarity of Pre-trained and Fine-tuned Representations0
Similarity-preserving Image-image Domain Adaptation for Person Re-identification0
Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation0
Simple and Effective Unsupervised Speech Translation0
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging0
Simple Domain Adaptation for Sparse Retrievers0
Simple Effective Microblog Named Entity Recognition: Arabic as an Example0
Simple Neologism Based Domain Independent Models to Predict Year of Authorship0
Simple, Scalable Adaptation for Neural Machine Translation0
Simplified Neural Unsupervised Domain Adaptation0
Simplified Neural Unsupervised Domain Adaptation0
Simply Trainable Nearest Neighbour Machine Translation with GPU Inference0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data0
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains0
Sim-to-Real Domain Adaptation For High Energy Physics0
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey0
Sim-To-Real Transfer of Visual Grounding for Human-Aided Ambiguity Resolution0
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks0
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation0
Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment0
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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