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 30513100 of 6439 papers

TitleStatusHype
Decompose to Adapt: Cross-domain Object Detection via Feature DisentanglementCode1
Enhancing Egocentric 3D Pose Estimation with Third Person ViewsCode0
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation0
TableParser: Automatic Table Parsing with Weak Supervision from SpreadsheetsCode1
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesCode2
Multi-Representation Adaptation Network for Cross-domain Image ClassificationCode2
ADeLA: Automatic Dense Labeling With Attention for Viewpoint Shift in Semantic Segmentation0
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation0
Exploring Domain-Invariant Parameters for Source Free Domain Adaptation0
Contrastive Regression for Domain Adaptation on Gaze Estimation0
Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels0
Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze RemovalCode1
H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-Domain Weakly Supervised Object DetectionCode1
Generalizing Gaze Estimation With Rotation Consistency0
Learning Video Representations of Human Motion From Synthetic Data0
Effect of Kinematics and Fluency in Adversarial Synthetic Data Generation for ASL Recognition with RF Sensors0
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis0
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training0
Data-Free Knowledge Transfer: A Survey0
Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification0
Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers0
Unsupervised Domain Adaptation for Constraining Star Formation HistoriesCode0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification0
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation0
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation0
Disentanglement by Cyclic ReconstructionCode0
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text SummarizationCode0
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual NormalizationCode1
Pre-Training Transformers for Domain Adaptation0
Tell me what you see: A zero-shot action recognition method based on natural language descriptionsCode1
Domain Adaptation on Point Clouds via Geometry-Aware ImplicitsCode1
Efficient Hierarchical Domain Adaptation for Pretrained Language ModelsCode1
UMAD: Universal Model Adaptation under Domain and Category Shift0
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning0
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems0
Improving Both Domain Robustness and Domain Adaptability in Machine TranslationCode0
Maximum Bayes Smatch Ensemble Distillation for AMR ParsingCode0
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense RetrievalCode1
Transferrable Contrastive Learning for Visual Domain Adaptation0
Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains0
A Survey of Unsupervised Domain Adaptation for Visual Recognition0
Semi-supervised Domain Adaptive Structure LearningCode0
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis0
Self-Ensemling for 3D Point Cloud Domain Adaption0
Unsupervised JPEG Domain Adaptation for Practical Digital Image ForensicsCode0
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach0
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic SegmentationCode1
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentationCode0
A cross-domain recommender system using deep coupled autoencoders0
Burn After Reading: Online Adaptation for Cross-domain Streaming Data0
Show:102550
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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