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 601650 of 6439 papers

TitleStatusHype
Curvature Diversity-Driven Deformation and Domain Alignment for Point CloudCode2
Neutral residues: revisiting adapters for model extension0
DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification0
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights0
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training0
OSSA: Unsupervised One-Shot Style AdaptationCode1
DoPAMine: Domain-specific Pre-training Adaptation from seed-guided data Mining0
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer LearningCode0
IDEA: An Inverse Domain Expert Adaptation Based Active DNN IP Protection Method0
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain AdaptationCode0
Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation0
BiPC: Bidirectional Probability Calibration for Unsupervised Domain AdaptionCode0
Sustaining model performance for covid-19 detection from dynamic audio data: Development and evaluation of a comprehensive drift-adaptive framework0
Wasserstein Distance-Weighted Adversarial Network for Cross-Domain Credit Risk Assessment0
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel ContrastCode0
A3: Active Adversarial Alignment for Source-Free Domain AdaptationCode0
Prompt-Driven Temporal Domain Adaptation for Nighttime UAV TrackingCode1
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning0
Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection0
LLM4Brain: Training a Large Language Model for Brain Video Understanding0
Exploring Acoustic Similarity in Emotional Speech and Music via Self-Supervised Representations0
Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting0
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularizationCode1
Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation0
Source-Free Domain Adaptation for YOLO Object DetectionCode2
Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition0
LLMCount: Enhancing Stationary mmWave Detection with Multimodal-LLM0
Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks0
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain0
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition0
Quantifying Context Bias in Domain Adaptation for Object Detection0
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized FrameworkCode1
FUSED-Net: Detecting Traffic Signs with Limited Data0
An Effective Approach to Embedding Source Code by Combining Large Language and Sentence Embedding Models0
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks0
LLMs are One-Shot URL Classifiers and Explainers0
MSSDA: Multi-Sub-Source Adaptation for Diabetic Foot Neuropathy Recognition0
Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems0
LM-assisted keyword biasing with Aho-Corasick algorithm for Transducer-based ASR0
Unsupervised Domain Adaptation for Keyphrase Generation using Citation ContextsCode0
Investigation on domain adaptation of additive manufacturing monitoring systems to enhance digital twin reusability0
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model0
Enhancing Synthetic Training Data for Speech Commands: From ASR-Based Filtering to Domain Adaptation in SSL Latent Space0
Unsupervised Domain Adaptation Via Data Pruning0
SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal ConsistencyCode0
Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification0
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep UnrollingCode0
Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models0
Few-Shot Domain Adaptation for Learned Image Compression0
Partial Distribution Matching via Partial Wasserstein Adversarial Networks0
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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