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 14011450 of 6439 papers

TitleStatusHype
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation0
Thermal-Infrared Remote Target Detection System for Maritime Rescue based on Data Augmentation with 3D Synthetic Data0
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction0
DDAM-PS: Diligent Domain Adaptive Mixer for Person SearchCode1
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition0
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector0
A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation0
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather RemovalCode1
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer0
SPA: A Graph Spectral Alignment Perspective for Domain AdaptationCode1
Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement0
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question AnsweringCode0
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception0
Robust Source-Free Domain Adaptation for Fundus Image SegmentationCode1
CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial ReportsCode0
ShadowSense: Unsupervised Domain Adaptation and Feature Fusion for Shadow-Agnostic Tree Crown Detection from RGB-Thermal Drone ImageryCode1
Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework0
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning0
Deep Feature Registration for Unsupervised Domain Adaptation0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference0
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLPCode0
ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI SegmentationCode0
Bi-discriminator Domain Adversarial Neural Networks with Class-Level Gradient AlignmentCode0
Towards Subject Agnostic Affective Emotion Recognition0
Gradual Domain Adaptation: Theory and AlgorithmsCode1
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis0
Neural domain alignment for spoken language recognition based on optimal transport0
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain AdaptationCode0
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation0
Robust Class-Conditional Distribution Alignment for Partial Domain Adaptation0
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective DebiasingCode1
Correction Focused Language Model Training for Speech Recognition0
On the Transferability of Learning Models for Semantic Segmentation for Remote Sensing DataCode0
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation0
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuningCode1
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction0
Using Global Land Cover Product as Prompt for Cropland Mapping via Visual Foundation Model0
Unsupervised Domain Adaption for Neural Information Retrieval0
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds0
Towards Example-Based NMT with Multi-Levenshtein TransformersCode0
SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain AdaptationCode0
Learning Transferable Conceptual Prototypes for Interpretable Unsupervised Domain Adaptation0
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain AdaptationCode0
Robust Unsupervised Domain Adaptation by Retaining Confident Entropy via Edge Concatenation0
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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