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 34513500 of 6439 papers

TitleStatusHype
Domain Adaptation for Underwater Image EnhancementCode0
Improving Mini-batch Optimal Transport via Partial TransportationCode1
Robust Ensembling Network for Unsupervised Domain AdaptationCode0
Geometry-Aware Self-Training for Unsupervised Domain Adaptationon Object Point CloudsCode1
Exploring Data Aggregation and Transformations to Generalize across Visual DomainsCode1
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue DetectionCode1
How Hateful are Movies? A Study and Prediction on Movie SubtitlesCode1
Box-Adapt: Domain-Adaptive Medical Image Segmentation using Bounding BoxSupervision0
Emotion Recognition from Multiple Modalities: Fundamentals and Methodologies0
Multi-Anchor Active Domain Adaptation for Semantic SegmentationCode1
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework0
A Comparison of Strategies for Source-Free Domain Adaptation0
Channel-Temporal Attention for First-Person Video Domain Adaptation0
Appearance Based Deep Domain Adaptation for the Classification of Aerial Images0
Direct domain adaptation through reciprocal linear transformationsCode0
Federated Multi-Target Domain Adaptation0
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic SegmentationCode1
PIT: Position-Invariant Transform for Cross-FoV Domain AdaptationCode1
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation0
SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial ImagesCode0
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection0
Federated Adversarial Debiasing for Fair and Transferable RepresentationsCode1
Towards Category and Domain Alignment: Category-Invariant Feature Enhancement for Adversarial Domain Adaptation0
Learning Transferable Parameters for Unsupervised Domain AdaptationCode1
Dual Path Learning for Domain Adaptation of Semantic SegmentationCode1
DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context ExchangeCode1
TVT: Transferable Vision Transformer for Unsupervised Domain AdaptationCode1
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation0
Semantic Concentration for Domain AdaptationCode1
NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications0
Zero-Shot Day-Night Domain Adaptation with a Physics PriorCode1
BIDCD -- Bosch Industrial Depth Completion Dataset0
Self-Adversarial Disentangling for Specific Domain Adaptation0
Context-Aware Mixup for Domain Adaptive Semantic SegmentationCode1
Learning to Transfer with von Neumann Conditional Divergence0
Towards Discriminative Representation Learning for Unsupervised Person Re-identification0
Road Scenes Segmentation Across Different Domains by Disentangling Latent RepresentationsCode0
High-frequency shape recovery from shading by CNN and domain adaptation0
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding0
Fine-grained Domain Adaptive Crowd Counting via Point-derived Segmentation0
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene SegmentationCode0
Source-Free Domain Adaptation for Image SegmentationCode1
Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia0
Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained HardwareCode0
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features0
On the Robustness of Domain Adaption to Adversarial Attacks0
Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalization0
Generalized Source-free Domain AdaptationCode1
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image GeneratorsCode1
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain AdaptationCode0
Show:102550
← PrevPage 70 of 129Next →

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