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 11511200 of 6439 papers

TitleStatusHype
1st Place Solution to NeurIPS 2022 Challenge on Visual Domain AdaptationCode1
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking SystemsCode1
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
Context-Aware Pseudo-Label Refinement for Source-Free Domain Adaptive Fundus Image SegmentationCode1
Deep Domain Confusion: Maximizing for Domain InvarianceCode1
DeepDRR -- A Catalyst for Machine Learning in Fluoroscopy-guided ProceduresCode1
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation ModelsCode1
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean-teacherCode1
Deep Hashing Network for Unsupervised Domain AdaptationCode1
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution WeightingCode1
kNN-Prompt: Nearest Neighbor Zero-Shot InferenceCode1
Continual Domain Adaptation through Pruning-aided Domain-specific Weight ModulationCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
Bayesian Meta-Learning for the Few-Shot Setting via Deep KernelsCode1
Era Splitting: Invariant Learning for Decision TreesCode1
Neuron Linear Transformation: Modeling the Domain Shift for Crowd CountingCode1
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example SentencesCode1
Deep transfer operator learning for partial differential equations under conditional shiftCode1
Deeply Coupled Cross-Modal Prompt LearningCode1
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across DomainsCode1
Continual self-training with bootstrapped remixing for speech enhancementCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image SegmentationCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
Learning Disentangled Semantic Representation for Domain AdaptationCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point CloudsCode1
Occlusion-Aware Seamless SegmentationCode1
Adversarial-Learned Loss for Domain AdaptationCode1
Deliberated Domain Bridging for Domain Adaptive Semantic SegmentationCode1
Delving into the Continuous Domain AdaptationCode1
Continuously Index Domain AdaptationCode1
Continuously Indexed Domain AdaptationCode1
A Survey of World Models for Autonomous DrivingCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic SegmentationCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object DetectionCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
On-target AdaptationCode1
Long-tailed Distribution AdaptationCode1
Contrastive Adaptation Network for Unsupervised Domain AdaptationCode1
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic SegmentationCode1
DiffuBox: Refining 3D Object Detection with Point DiffusionCode1
Diffusion Domain Teacher: Diffusion Guided Domain Adaptive Object DetectorCode1
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect ExtractionCode1
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE ResultsCode1
Open Cross-Domain Visual SearchCode1
Contrastive Domain Adaptation for Question Answering using Limited Text CorporaCode1
Zero-Resource Cross-Domain Named Entity RecognitionCode1
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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