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 21512200 of 6439 papers

TitleStatusHype
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining0
Balancing Transferability and Discriminability for Unsupervised Domain Adaptation.0
Adaptive Control Attention Network for Underwater Acoustic Localization and Domain Adaptation0
Cycle monotonicity of adversarial attacks for optimal domain adaptation0
Balancing Stability and Plasticity in Pretrained Detector: A Dual-Path Framework for Incremental Object Detection0
Cycle Label-Consistent Networks for Unsupervised Domain Adaptation0
Cycle-Consistent World Models for Domain Independent Latent Imagination0
Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection0
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network0
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation0
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation0
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View0
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation0
Baidu Neural Machine Translation Systems for WMT190
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation0
A Gold Standard for CLIR evaluation in the Organic Agriculture Domain0
Customizing Speech Recognition Model with Large Language Model Feedback0
70B-parameter large language models in Japanese medical question-answering0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques0
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation0
Curriculum Self-Paced Learning for Cross-Domain Object Detection0
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions0
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation0
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation0
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation0
Curriculum Learning for Domain Adaptation in Neural Machine Translation0
Curriculum Guided Domain Adaptation in the Dark0
Bag of Experts Architectures for Model Reuse in Conversational Language Understanding0
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays0
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation0
Active Adversarial Domain Adaptation0
Adaptive Bi-Recommendation and Self-Improving Network for Heterogeneous Domain Adaptation-Assisted IoT Intrusion Detection0
Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers0
Exploiting Domain Transferability for Collaborative Inter-level Domain Adaptive Object Detection0
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images0
CUPR: Contrastive Unsupervised Learning for Person Re-identification0
Explaining Cross-Domain Recognition with Interpretable Deep Classifier0
Agile Domain Adaptation0
Explaining and Adapting Graph Conditional Shift0
Explicit Domain Adaptation with Loosely Coupled Samples0
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation0
CTS: Sim-to-Real Unsupervised Domain Adaptation on 3D Detection0
Cross-domain Trajectory Prediction with CTP-Net0
BabelDomains: Large-Scale Domain Labeling of Lexical Resources0
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen0
A Wikipedia-based Corpus for Contextualized Machine Translation0
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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