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 12011250 of 6439 papers

TitleStatusHype
Inter-Domain Mixup for Semi-Supervised Domain Adaptation0
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation0
Simple Domain Adaptation for Sparse Retrievers0
Generalizing Speaker Verification for Spoof Awareness in the Embedding Space0
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation0
SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming0
BlenDA: Domain Adaptive Object Detection through diffusion-based blendingCode1
Improving Speaker-independent Speech Emotion Recognition Using Dynamic Joint Distribution Adaptation0
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation0
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight ConsolidationCode0
Tuning Language Models by ProxyCode2
Unsupervised multi-source domain adaptation for person re-identification via feature fusion and pseudo-label refinement0
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention0
Improving Domain Adaptation through Extended-Text Reading Comprehension0
Unsupervised Domain Adaptation Using Compact Internal Representations0
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception0
Domain Adaptation for Large-Vocabulary Object Detectors0
Domain Adaptation for Sustainable Soil Management using Causal and Contrastive Constraint Minimization0
Transcending Controlled Environments Assessing the Transferability of ASRRobust NLU Models to Real-World Applications0
Direct Distillation between Different Domains0
Domain Adaptation for Time series Transformers using One-step fine-tuning0
Dynamic Weighted Adversarial Learning for Semi-Supervised Classification under Intersectional Class MismatchCode0
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentCode0
Consensus Focus for Object Detection and minority classesCode0
CLIP-Guided Source-Free Object Detection in Aerial ImagesCode1
Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction0
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer0
Representative Feature Extraction During Diffusion Process for Sketch Extraction with One Example0
Connect Later: Improving Fine-tuning for Robustness with Targeted AugmentationsCode0
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling0
InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization0
Plug-and-Play Transformer Modules for Test-Time Adaptation0
MirrorDiffusion: Stabilizing Diffusion Process in Zero-shot Image Translation by Prompts Redescription and Beyond0
VLLaVO: Mitigating Visual Gap through LLMsCode1
Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite ImageCode0
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization0
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions0
Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology ImagingCode0
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation0
Prompt Decoupling for Text-to-Image Person Re-identification0
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition0
De-Confusing Pseudo-Labels in Source-Free Domain AdaptationCode0
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images0
DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic SegmentationCode1
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation0
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning0
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal RepresentationsCode0
View From Above: Orthogonal-View aware Cross-view Localization0
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation0
Parameter Efficient Self-Supervised Geospatial 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