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 48514900 of 6439 papers

TitleStatusHype
MUCS@Adap-MT 2020: Low Resource Domain Adaptation for Indic Machine Translation0
MUDAS: Mote-scale Unsupervised Domain Adaptation in Multi-label Sound Classification0
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction0
Multi-adversarial Faster-RCNN with Paradigm Teacher for Unrestricted Object Detection0
Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation0
Multicalibrated Partitions for Importance Weights0
Multi-Cell Compositional LSTM for NER Domain Adaptation0
Domain generalization in deep learning for contrast-enhanced imaging0
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification0
Multi-component Image Translation for Deep Domain Generalization0
Multi-Domain Adaptation for SMT Using Multi-Task Learning0
Multi-domain Adaptation for Statistical Machine Translation Based on Feature Augmentation0
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning0
Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies0
Multi-Domain Adversarial Feature Generalization for Person Re-Identification0
Multi-Domain Learning: When Do Domains Matter?0
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems0
Multi-Domain Sentiment Relevance Classification with Automatic Representation Learning0
Multi-EPL: Accurate Multi-source Domain Adaptation0
Robust Character Labeling in Movie Videos: Data Resources and Self-supervised Feature Adaptation0
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation0
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification0
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection0
Multi-layer Annotation of the Rigveda0
Multi-layer Domain Adaptation for Deep Convolutional Networks0
Multi-level Domain Adaptation for Lane Detection0
Foreground Object Structure Transfer for Unsupervised Domain Adaptation0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters0
Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters0
Multilingual Multi-Domain Adaptation Approaches for Neural Machine Translation0
Multilingual Multiword Expression Identification Using Lateral Inhibition and Domain Adaptation0
Multilingual Parallel Corpus for Global Communication Plan0
Multilingual prediction of Alzheimer's disease through domain adaptation and concept-based language modelling0
Multilingual Test Sets for Machine Translation of Search Queries for Cross-Lingual Information Retrieval in the Medical Domain0
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain0
Multimodal 3D Object Detection on Unseen Domains0
Multimodal Deep Domain Adaptation0
Multi-Modal Domain Adaptation Across Video Scenes for Temporal Video Grounding0
Multi-modal Domain Adaptation for REG via Relation Transfer0
Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning0
Multi-modal Instance Refinement for Cross-domain Action Recognition0
Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification0
Multi-Modality Cardiac Image Analysis with Deep Learning0
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation0
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation0
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation0
Multi-Objective Meta Learning0
Multi-objective Progressive Clustering for Semi-supervised Domain Adaptation in Speaker Verification0
Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain0
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor0
Show:102550
← PrevPage 98 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