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 50515100 of 6439 papers

TitleStatusHype
De l'extraction des interactions m\'edicament-m\'edicament vers les interactions aliment-m\'edicament \`a partir de textes biom\'edicaux: Adaptation de domaine (From the extraction of drug-drug interactions to the food-drug interactions in biomedical texts : domain adaptation)0
DeMIAN: Deep Modality Invariant Adversarial Network0
Demographic Factors Improve Classification Performance0
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction0
Dense Retrieval Adaptation using Target Domain Description0
Density Matters: Improved Core-set for Active Domain Adaptive Segmentation0
DE-PADA: Personalized Augmentation and Domain Adaptation for ECG Biometrics Across Physiological States0
Dependable Neural Networks for Safety Critical Tasks0
Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain Data0
Dependency Parsing Domain Adaptation using Transductive SVM0
Dependency Parsing: Past, Present, and Future0
Enhanced Transfer Learning with ImageNet Trained Classification Layer0
Depth Estimation from Single-shot Monocular Endoscope Image Using Image Domain Adaptation And Edge-Aware Depth Estimation0
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation0
DESC: Domain Adaptation for Depth Estimation via Semantic Consistency0
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation0
Detecting annotation noise in automatically labelled data0
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation0
Detecting Diabetes Risk from Social Media Activity0
Detecting Semantically Equivalent Questions in Online User Forums0
Detecting Uncertainty Cues in Hungarian Social Media Texts0
Developing High Quality Training Samples for Deep Learning Based Local Climate Zone Classification in Korea0
DEX: Domain Embedding Expansion for Generalized Person Re-identification0
Dialogue Act Recognition using Reweighted Speaker Adaptation0
Dialogue manager domain adaptation using Gaussian process reinforcement learning0
Dictionary-based Domain Adaptation of MT Systems without Retraining0
DIDA: Denoised Imitation Learning based on Domain Adaptation0
DiDA: Disentangled Synthesis for Domain Adaptation0
DiffClass: Diffusion-Based Class Incremental Learning0
Different Flavors of GUM: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality0
Differentially Private Domain Adaptation with Theoretical Guarantees0
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks0
Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models0
Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling0
Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation0
Diffusion-based Target Sampler for Unsupervised Domain Adaptation0
Diffusion-Driven Domain Adaptation for Generating 3D Molecules0
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors0
Diffusion Guided Domain Adaptation of Image Generators0
Diffusion Transport Alignment0
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI0
DI-NIDS: Domain Invariant Network Intrusion Detection System0
Direct Distillation between Different Domains0
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation0
Discovering Financial Hypernyms by Prompting Masked Language Models0
Discriminative Active Learning for Domain Adaptation0
Discriminative Adversarial Search for Abstractive Summarization0
Discriminative and Geometry Aware Unsupervised Domain Adaptation0
Discriminative Clustering for Robust Unsupervised Domain Adaptation0
Discriminative Consistent Domain Generation for Semi-supervised Learning0
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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