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
Tag-less Back-Translation0
Dependable Neural Networks for Safety Critical Tasks0
Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation0
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation0
Simulating Content Consistent Vehicle Datasets with Attribute DescentCode1
On the Metrics and Adaptation Methods for Domain Divergences of sEMG-based Gesture RecognitionCode0
Learning from Synthetic AnimalsCode1
Sim-to-Real Domain Adaptation For High Energy Physics0
Iterative Dual Domain Adaptation for Neural Machine Translation0
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking0
Joint Learning of Generative Translator and Classifier for Visually Similar Classes0
Private Federated Learning with Domain Adaptation0
Deep Prototypical Networks Based Domain Adaptation for Fault Diagnosis0
Associative Alignment for Few-shot Image ClassificationCode0
Learning Domain Adaptive Features with Unlabeled Domain Bridges0
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching0
Minimum Class Confusion for Versatile Domain AdaptationCode0
Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance0
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation0
Angular Visual Hardness0
Adversarial Domain Adaptation with Domain MixupCode0
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation0
Learning to smell for wellness0
Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition0
Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift0
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain AdaptationCode0
Transferable Normalization: Towards Improving Transferability of Deep Neural NetworksCode0
Correlation-aware Adversarial Domain Adaptation and Generalization0
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic SegmentationCode1
Light-weight Calibrator: a Separable Component for Unsupervised Domain AdaptationCode0
Discriminative Adversarial Domain AdaptationCode0
Class-Conditional Domain Adaptation on Semantic Segmentation0
Spatial-Aware GAN for Unsupervised Person Re-identification0
Improving land cover segmentation across satellites using domain adaptationCode0
Learning New Tricks from Old Dogs -- Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment0
A Unified Deep Learning Approach for Prediction of Parkinson's Disease0
Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition0
Unsupervised Domain Adaptation of Language Models for Reading Comprehension0
Multi-source Distilling Domain AdaptationCode0
Domain Adaptation for Object Detection via Style ConsistencyCode0
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck0
Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation0
Open Cross-Domain Visual SearchCode1
Deep Detector Health Management under Adversarial Campaigns0
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-LabelingCode0
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised LearningCode1
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?Code1
Collaborative Unsupervised Domain Adaptation for Medical Image DiagnosisCode1
Neocortical plasticity: an unsupervised cake but no free lunch0
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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