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 47014750 of 6439 papers

TitleStatusHype
Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation0
Loss-based Sequential Learning for Active Domain Adaptation0
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond0
LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding0
Low-Budget Label Query through Domain Alignment Enforcement0
Low-Cost On-device Partial Domain Adaptation (LoCO-PDA): Enabling efficient CNN retraining on edge devices0
Low-Resource Compositional Semantic Parsing with Concept Pretraining0
Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort0
Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing0
Low-Resource Domain Adaptation for Speech LLMs via Text-Only Fine-Tuning0
Low-resource domain adaptation while minimizing energy and hardware resource consumption0
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification0
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains0
Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia0
L-Vector: Neural Label Embedding for Domain Adaptation0
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training0
M3SD: Multi-modal, Multi-scenario and Multi-language Speaker Diarization Dataset0
Machine Translation in the Covid domain: an English-Irish case study for LoResMT 20210
Machine Translation of Medical Texts in the Khresmoi Project0
Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness0
MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition0
Magic Insert: Style-Aware Drag-and-Drop0
Maintain Plasticity in Long-timescale Continual Test-time Adaptation0
Leveraging Lead Bias for Zero-shot Abstractive News Summarization0
Making deep neural networks work for medical audio: representation, compression and domain adaptation0
Making the Full Model Adaptive: Multi-level Domain Adaptation for Multi-Domain CTR Prediction0
Malleable Agents for Re-Configurable Robotic Manipulators0
Manifold Alignment with Label Information0
MAPLE: Microprocessor A Priori for Latency Estimation0
Mapping Estimation for Discrete Optimal Transport0
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling0
Margin Discrepancy-based Adversarial Training for Multi-Domain Text Classification0
MarrNet: 3D Shape Reconstruction via 2.5D Sketches0
MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking0
Mask The Bias: Improving Domain-Adaptive Generalization of CTC-based ASR with Internal Language Model Estimation0
Master Thesis: Neural Sign Language Translation by Learning Tokenization0
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation0
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation0
Material Palette: Extraction of Materials from a Single Image0
Maximal Domain Independent Representations Improve Transfer Learning0
Maximizing Conditional Independence for Unsupervised Domain Adaptation0
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation0
Maximizing Model Generalization for Machine Condition Monitoring with Self-Supervised Learning and Federated Learning0
Uniform Priors for Data-Efficient Transfer0
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets0
M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition0
MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan0
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework0
Measuring Immediate Adaptation Performance for Neural Machine Translation0
Measuring Machine Translation Errors in New Domains0
Show:102550
← PrevPage 95 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