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 57015750 of 6439 papers

TitleStatusHype
Flow Graph Corpus from Recipe Texts0
Fluid Annotation: A Granularity-aware Annotation Tool for Chinese Word Fluidity0
Collaborative Multi-source Domain Adaptation Through Optimal Transport0
Focused training sets to reduce noise in NER feature models0
Focusing Annotation for Semantic Role Labeling0
Focus on Semantic Consistency for Cross-domain Crowd Understanding0
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation0
FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes0
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection0
Frame-Semantic Role Labeling with Heterogeneous Annotations0
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
Decomposition-based Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation0
Frequency Dropout: Feature-Level Regularization via Randomized Filtering0
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions0
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning0
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
From Big to Small: Adaptive Learning to Partial-Set Domains0
From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration0
From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning0
From Electrode to Global Brain: Integrating Multi- and Cross-Scale Brain Connections and Interactions Under Cross-Subject and Within-Subject Scenarios0
From Fake to Hyperpartisan News Detection Using 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
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
From Synthetic to Real: Unveiling the Power of Synthetic Data for Video Person Re-ID0
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
Frustratingly Easy Domain Adaptation0
Frustratingly Easy Neural Domain Adaptation0
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography0
Fully Convolutional Adaptation Networks for Semantic Segmentation0
Fully Test-Time rPPG Estimation via Synthetic Signal-Guided Feature Learning0
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information0
Fundamental Limits and Tradeoffs in Invariant Representation Learning0
Fuse and Adapt: Investigating the Use of Pre-Trained Self-Supervising Learning Models in Limited Data NLU problems0
FUSED-Net: Detecting Traffic Signs with Limited Data0
Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition0
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation0
G2L: A Global to Local Alignment Method for Unsupervised Domain Adaptive Semantic Segmentation0
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition0
GAMA++: Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer0
GAMA: Geometry-Aware Manifold Alignment via Structured Adversarial Perturbations for Robust Domain Adaptation0
GANs and alternative methods of synthetic noise generation for domain adaption of defect classification of Non-destructive ultrasonic testing0
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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