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 46014650 of 6439 papers

TitleStatusHype
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting0
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation0
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs0
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis0
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation0
Building an Efficient Multilingual Non-Profit IR System for the Islamic Domain Leveraging Multiprocessing Design in Rust0
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts0
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models0
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation0
Building Multiword Expressions Bilingual Lexicons for Domain Adaptation of an Example-Based Machine Translation System0
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation0
Burn After Reading: Online Adaptation for Cross-domain Streaming Data0
BUT System for the MLC-SLM Challenge0
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference0
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation0
Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection0
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation0
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation0
CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification0
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification0
Can Data Diversity Enhance Learning Generalization?0
Understanding Behavior of Clinical Models under Domain Shifts0
Can Domain Adaptation be Handled as Analogies?0
Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation0
Can domain adaptation make object recognition work for everyone?0
Can Shadows Reveal Biometric Information?0
cantnlp@LT-EDI-2024: Automatic Detection of Anti-LGBTQ+ Hate Speech in Under-resourced Languages0
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?0
Can We Teach Computers to Understand Art? Domain Adaptation for Enhancing Deep Networks Capacity to De-Abstract Art0
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios0
CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities0
CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation0
Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection0
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection0
Adversarial Transfer Learning for Cross-domain Visual Recognition0
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement0
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation0
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis0
Causal Effect Variational Autoencoder with Uniform Treatment0
Causal Embeddings for Recommendation: An Extended Abstract0
Causal Generative Domain Adaptation Networks0
Causal Inference Isn't Special: Why It's Just Another Prediction Problem0
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems0
CDA: Contrastive-adversarial Domain Adaptation0
Forward-Backward Splitting for Optimal Transport based Problems0
CDS: Cross-Domain Self-Supervised Pre-Training0
CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding0
CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation0
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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