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 17011750 of 6439 papers

TitleStatusHype
Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling0
Diffusion and Multi-Domain Adaptation Methods for Eosinophil Segmentation0
Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves0
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation0
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
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification0
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels0
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks0
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance0
Direct Distillation between Different Domains0
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation0
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization0
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features0
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation0
BIDCD -- Bosch Industrial Depth Completion Dataset0
Discovering Financial Hypernyms by Prompting Masked Language Models0
Aligning Correlation Information for Domain Adaptation in Action Recognition0
Domain adaption and physical constrains transfer learning for shale gas production0
Decoupled Structure for Improved Adaptability of End-to-End Models0
Biber Redux: Reconsidering Dimensions of Variation in American English0
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation0
Discriminative Clustering for Robust Unsupervised Domain Adaptation0
Biased Representation Learning for Domain Adaptation0
Discriminative Cross-Domain Feature Learning for Partial Domain Adaptation0
Decomposition-Based Domain Adaptation for Real-World Font Recognition0
Discriminative Label Consistent Domain Adaptation0
Discriminative Noise Robust Sparse Orthogonal Label Regression-based Domain Adaptation0
Discriminative Partial Domain Adversarial Network0
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation0
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs0
A Lightweight Multi-Expert Generative Language Model System for Engineering Information and Knowledge Extraction0
Decomposable Neural Paraphrase Generation0
Disentangled cyclic reconstruction for domain adaptation0
Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection0
Adaptive Prompt Learning with Negative Textual Semantics and Uncertainty Modeling for Universal Multi-Source Domain Adaptation0
An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval0
Domain Discrepancy Measure for Complex Models in Unsupervised Domain Adaptation0
Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation0
Disentangling style and content for low resource video domain adaptation: a case study on keystroke inference attacks0
Disfluency Detection with Unlabeled Data and Small BERT Models0
Disjoint Label Space Transfer Learning with Common Factorised Space0
Disparity-Aware Domain Adaptation in Stereo Image Restoration0
Domain Adapting Ability of Self-Supervised Learning for Face Recognition0
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation0
Decision Rule Elicitation for 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