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 26512700 of 6439 papers

TitleStatusHype
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection0
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection0
A Universal Degradation-based Bridging Technique for Domain Adaptive Semantic Segmentation0
Adapting Models to Signal Degradation using Distillation0
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning0
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation0
Cross Domain Image Matching in Presence of Outliers0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval0
FREEDOM: Target Label & Source Data & Domain Information-Free Multi-Source Domain Adaptation for Unsupervised Personalization0
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license0
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation0
Cross Domain Knowledge Transfer for Unsupervised Vehicle Re-identification0
Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation0
Exploiting Local Feature Patterns for Unsupervised Domain Adaptation0
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning0
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques0
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation0
From Abstraction to Reality: DARPA's Vision for Robust Sim-to-Real Autonomy0
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks0
A Theory of Output-Side Unsupervised Domain Adaptation0
A Comprehensive Survey on Source-free Domain Adaptation0
Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation0
From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration0
Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation0
Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation0
From Fake to Hyperpartisan News Detection Using Domain Adaptation0
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation0
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing0
Exploiting Domain Transferability for Collaborative Inter-level Domain Adaptive Object Detection0
From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images0
From Simulation to Real World Maneuver Execution using Deep Reinforcement Learning0
From source to target and back: symmetric bi-directional adaptive GAN0
Exploiting Both Domain-specific and Invariant Knowledge via a Win-win Transformer for Unsupervised Domain Adaptation0
Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers0
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer0
From Traditional to Modern : Domain Adaptation for Action Classification in Short Social Video Clips0
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example0
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots0
Conversational QA Dataset Generation with Answer Revision0
Frustratingly Easy Neural Domain Adaptation0
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data0
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation0
Fully Convolutional Adaptation Networks for Semantic Segmentation0
Explicit Domain Adaptation with Loosely Coupled Samples0
Fully Test-Time rPPG Estimation via Synthetic Signal-Guided Feature Learning0
Controlling Target Features in Neural Machine Translation via Prefix Constraints0
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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