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 28012850 of 6439 papers

TitleStatusHype
Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation0
Dispensed Transformer Network for Unsupervised Domain Adaptation0
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts0
Disparity-Aware Domain Adaptation in Stereo Image Restoration0
Disjoint Label Space Transfer Learning with Common Factorised Space0
Building an Efficient Multilingual Non-Profit IR System for the Islamic Domain Leveraging Multiprocessing Design in Rust0
Disfluency Detection with Unlabeled Data and Small BERT Models0
Disentangling style and content for low resource video domain adaptation: a case study on keystroke inference attacks0
Building a Multi-domain Neural Machine Translation Model using Knowledge Distillation0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection0
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training0
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation0
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval0
Disentangled cyclic reconstruction for domain adaptation0
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis0
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis0
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation0
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation0
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs0
Discriminative Partial Domain Adversarial Network0
Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation0
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation0
Task-Assisted Domain Adaptation with Anchor Tasks0
Discriminative Label Consistent Domain Adaptation0
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation0
Discriminative Consistent Domain Generation for Semi-supervised Learning0
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting0
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms0
Adding syntactic structure to bilingual terminology for improved domain adaptation0
An Empirical Study on Activity Recognition in Long Surgical Videos0
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning0
Discriminative Clustering for Robust Unsupervised Domain Adaptation0
Discriminative and Geometry Aware Unsupervised Domain Adaptation0
Discriminative Adversarial Search for Abstractive Summarization0
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning0
Discriminative Active Learning for Domain Adaptation0
Discovering Financial Hypernyms by Prompting Masked Language Models0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector0
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation0
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management0
Direct Distillation between Different Domains0
DI-NIDS: Domain Invariant Network Intrusion Detection System0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding0
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation0
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI0
Bridging the Domain Gap in Satellite Pose Estimation: a Self-Training Approach based on Geometrical Constraints0
Diffusion Transport Alignment0
Diffusion Guided Domain Adaptation of Image Generators0
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation0
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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