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 801–850 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 Accuracy96—Unverified
2PMTransAverage Accuracy95.3—Unverified
3CMKDAverage Accuracy94.4—Unverified
4SSRT-B (ours)Average Accuracy93.5—Unverified
5CDTransAverage Accuracy92.6—Unverified
6CoViAverage Accuracy91.8—Unverified
7GSDEAverage Accuracy91.7—Unverified
8FixBiAverage Accuracy91.4—Unverified
9Contrastive Adaptation NetworkAverage Accuracy90.6—Unverified
10BIWAAAverage Accuracy90.5—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU78.1—Unverified
2ILM-ASSLmIoU76.6—Unverified
3DCFmIoU69.3—Unverified
4HRDA+PiPamIoU68.2—Unverified
5MICmIoU67.3—Unverified
6FREDOM - TransformermIoU67—Unverified
7HRDAmIoU65.8—Unverified
8SePiComIoU64.3—Unverified
9MIC + Guidance TrainingmIoU63.8—Unverified
10DAFormer + ProCSTmIoU61.6—Unverified
#ModelMetricClaimedVerifiedStatus
1HALOmIoU77.8—Unverified
2DCFmIoU77.7—Unverified
3ILM-ASSLmIoU76.1—Unverified
4MICmIoU75.9—Unverified
5HRDA+PiPamIoU75.6—Unverified
6HRDAmIoU73.8—Unverified
7FREDOM - TransformermIoU73.6—Unverified
8HALOmIoU73.3—Unverified
9SePiComIoU70.3—Unverified
10DAFormer + ProCSTmIoU69.4—Unverified
#ModelMetricClaimedVerifiedStatus
1SWGAccuracy92.3—Unverified
2RCLAccuracy90—Unverified
3PGA (ViT-L/14)Accuracy89.4—Unverified
4CMKDAccuracy89—Unverified
5PMTransAccuracy89—Unverified
6MICAccuracy86.2—Unverified
7PGA (ViT-B/16)Accuracy85.1—Unverified
8ELSAccuracy84.6—Unverified
9SDAT (ViT-B/16)Accuracy84.3—Unverified
10CDTrans (DeiT-B)Accuracy80.5—Unverified
#ModelMetricClaimedVerifiedStatus
1FFTATAccuracy93.8—Unverified
2RCLAccuracy93.2—Unverified
3MICAccuracy92.8—Unverified
4SWGAccuracy92.7—Unverified
5CMKDAccuracy91.8—Unverified
6DePTAccuracy90.7—Unverified
7SDAT(ViT)Accuracy89.8—Unverified
8SFDA2++Accuracy89.6—Unverified
9PMtransAccuracy88.8—Unverified
10CoViAccuracy88.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CMKDAccuracy94.3—Unverified
2MCC+NWDAccuracy90.7—Unverified
3GLOT-DRAccuracy90.4—Unverified
4SPLAccuracy90.3—Unverified
5DFA-SAFNAccuracy90.2—Unverified
6DADAAccuracy89.3—Unverified
7DFA-ENTAccuracy89.1—Unverified
8DDAAccuracy88.9—Unverified
9MEDMAccuracy88.9—Unverified
10IAFN+ENTAccuracy88.9—Unverified
#ModelMetricClaimedVerifiedStatus
1SoRAmIoU78.8—Unverified
2ReinmIoU77.6—Unverified
3CoDAmIoU72.6—Unverified
4Refign (HRDA)mIoU72.1—Unverified
5HALOmIoU71.9—Unverified
6MICmIoU70.4—Unverified
7HRDAmIoU68—Unverified
8Refign (DAFormer)mIoU65.5—Unverified
9VBLC (DAFormer)mIoU64.2—Unverified
10CMFormermIoU60.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FACTAccuracy98.8—Unverified
2FAMCDAccuracy98.72—Unverified
3DFA-MCDAccuracy98.6—Unverified
4Mean teacherAccuracy98.26—Unverified
5DRANetAccuracy98.2—Unverified
6SHOTAccuracy98—Unverified
7DFA-ENTAccuracy97.9—Unverified
8CyCleGAN (Light-weight Calibrator)Accuracy97.1—Unverified