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 351400 of 6439 papers

TitleStatusHype
LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process ThinkingCode2
RoHan: Robust Hand Detection in Operation RoomCode0
TimberVision: A Multi-Task Dataset and Framework for Log-Component Segmentation and Tracking in Autonomous Forestry OperationsCode1
Label Calibration in Source Free Domain Adaptation0
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference0
Diversified Augmentation with Domain Adaptation for Debiased Video Temporal Grounding0
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation0
Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization0
Large Language Models for Bioinformatics0
Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development AssessmentCode0
Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions0
Demystifying Domain-adaptive Post-training for Financial LLMsCode1
DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving0
MORDA: A Synthetic Dataset to Facilitate Adaptation of Object Detectors to Unseen Real-target Domain While Preserving Performance on Real-source Domain0
Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models0
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning0
Towards a Generalizable Speech Marker for Parkinson's Disease Diagnosis0
Radar Signal Recognition through Self-Supervised Learning and Domain Adaptation0
ProtoBeam: Generalizing Deep Beam Prediction to Unseen Antennas using Prototypical NetworksCode0
Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation0
AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image SegmentationCode1
DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and moleculesCode1
AMM: Adaptive Modularized Reinforcement Model for Multi-city Traffic Signal Control0
Unsupervised Class Generation to Expand Semantic Segmentation Datasets0
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation0
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations0
Domain-invariant feature learning in brain MR imaging for content-based image retrieval0
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation0
ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation0
AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering0
ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation0
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach0
A Unified Framework for Heterogeneous Semi-supervised Learning0
Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation0
Multirate Neural Image Compression with Adaptive Lattice Vector Quantization0
UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition0
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains0
MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining0
Asynchronous Collaborative Graph Representation for Frames and EventsCode0
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment0
SemiDAViL: Semi-supervised Domain Adaptation with Vision-Language Guidance for Semantic Segmentation0
Universal Domain Adaptation for Semantic SegmentationCode0
MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis0
Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation0
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection0
Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain AdaptationCode0
Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose EstimationCode0
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain AdaptationCode0
Maintain Plasticity in Long-timescale Continual Test-time Adaptation0
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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
4CMKDAccuracy89Unverified
5PMTransAccuracy89Unverified
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
8DDAAccuracy88.9Unverified
9MEDMAccuracy88.9Unverified
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