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 35013550 of 6439 papers

TitleStatusHype
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data0
AUGCO: Augmentation Consistency-guided Self-training for Source-free Domain Adaptive Semantic Segmentation0
Safe and Robust Reinforcement Learning: Principles and Practice0
Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics0
SafePaint: Anti-forensic Image Inpainting with Domain Adaptation0
Safety Reasoning with Guidelines0
SA-GDA: Spectral Augmentation for Graph Domain Adaptation0
SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming0
SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation0
SAM-DA: Decoder Adapter for Efficient Medical Domain Adaptation0
SAMDA: Leveraging SAM on Few-Shot Domain Adaptation for Electronic Microscopy Segmentation0
SAM-guided Pseudo Label Enhancement for Multi-modal 3D Semantic Segmentation0
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds0
Sample Balancing for Improving Generalization under Distribution Shifts0
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek0
Sample-to-Sample Correspondence for Unsupervised Domain Adaptation0
Samsung R&D Institute Poland submission to WAT 2021 Indic Language Multilingual Task0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset0
S-APIR: News-based Business Sentiment Index0
#SarcasmDetection is soooo general! Towards a Domain-Independent Approach for Detecting Sarcasm0
SAR: Learning Cross-Language API Mappings with Little Knowledge0
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain0
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning0
Scalable domain adaptation of convolutional neural networks0
Scalable Multi-Domain Adaptation of Language Models using Modular Experts0
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders0
Scaling Unsupervised Domain Adaptation through Optimal Collaborator Selection and Lazy Discriminator Synchronization0
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization0
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning0
Schema Augmentation for Zero-Shot Domain Adaptation in Dialogue State Tracking0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions0
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation0
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation0
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation0
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation0
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data0
Seeing Beyond Appearance - Mapping Real Images into Geometrical Domains for Unsupervised CAD-based Recognition0
SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets0
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation0
Segmentation for Domain Adaptation in Arabic0
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks0
Segmentation-guided Domain Adaptation for Efficient Depth Completion0
Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks0
Segmenting across places: The need for fair transfer learning with satellite imagery0
Seismic Facies Analysis: A Deep Domain Adaptation Approach0
Selecting Data for English-to-Czech Machine Translation0
Selecting Relevant Web Trained Concepts for Automated Event Retrieval0
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge0
Selection Bias, Label Bias, and Bias in Ground Truth0
Selective classification using a robust meta-learning approach0
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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