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 801850 of 6439 papers

TitleStatusHype
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine TranslationCode1
Self-training Guided Adversarial Domain Adaptation For Thermal ImageryCode1
KL Guided Domain AdaptationCode1
Break-It-Fix-It: Unsupervised Learning for Program RepairCode1
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain AdaptationCode1
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain AdaptationCode1
Source-Free Open Compound Domain Adaptation in Semantic SegmentationCode1
Self-Supervision & Meta-Learning for One-Shot Unsupervised Cross-Domain DetectionCode1
RDA: Robust Domain Adaptation via Fourier Adversarial AttackingCode1
Category Contrast for Unsupervised Domain Adaptation in Visual TasksCode1
Multiscale Domain Adaptive YOLO for Cross-Domain Object DetectionCode1
Knowledge Inheritance for Pre-trained Language ModelsCode1
Transformer-Based Source-Free Domain AdaptationCode1
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained AutoencoderCode1
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query ShiftCode1
Neural Machine Translation with Monolingual Translation MemoryCode1
Exploring Robustness of Unsupervised Domain Adaptation in Semantic SegmentationCode1
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document UnderstandingCode1
GOO: A Dataset for Gaze Object Prediction in Retail EnvironmentsCode1
PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency TrainingCode1
Learning to Relate Depth and Semantics for Unsupervised Domain AdaptationCode1
MOST: Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher LearningCode1
Self-supervised Augmentation Consistency for Adapting Semantic SegmentationCode1
Sign Segmentation with Changepoint-Modulated Pseudo-LabellingCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Unsupervised Multi-Source Domain Adaptation for Person Re-IdentificationCode1
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory BankCode1
NTIRE 2021 Depth Guided Image Relighting ChallengeCode1
Graphical Modeling for Multi-Source Domain AdaptationCode1
If your data distribution shifts, use self-learningCode1
T2NER: Transformers based Transfer Learning Framework for Named Entity RecognitionCode1
Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather ConditionCode1
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic SegmentationCode1
Cross-Domain and Disentangled Face Manipulation with 3D GuidanceCode1
Visualizing Adapted Knowledge in Domain TransferCode1
Cross-Domain Adaptive Clustering for Semi-Supervised Domain AdaptationCode1
ECACL: A Holistic Framework for Semi-Supervised Domain AdaptationCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social MediaCode1
Cross-Domain Label-Adaptive Stance DetectionCode1
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding LearningCode1
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and RegistrationCode1
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain TransferCode1
Zero-Shot Learning on 3D Point Cloud Objects and BeyondCode1
On Universal Black-Box Domain AdaptationCode1
OVANet: One-vs-All Network for Universal Domain AdaptationCode1
Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-IdentificationCode1
Unsupervised Multi-source Domain Adaptation Without Access to Source DataCode1
DINE: Domain Adaptation from Single and Multiple Black-box PredictorsCode1
Instance Level Affinity-Based Transfer for Unsupervised Domain AdaptationCode1
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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