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 46514700 of 6439 papers

TitleStatusHype
Center Loss Regularization for Continual Learning0
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation0
Certainty and Uncertainty Guided Active Domain Adaptation0
Challenges and Solutions for Latin Named Entity Recognition0
Channel Adaptation for Speaker Verification Using Optimal Transport with Pseudo Label0
Channel adversarial training for cross-channel text-independent speaker recognition0
Channel-Temporal Attention for First-Person Video Domain Adaptation0
Character-Based Pivot Translation for Under-Resourced Languages and Domains0
Characteristic Regularisation for Super-Resolving Face Images0
The (In)Effectiveness of Intermediate Task Training For Domain Adaptation and Cross-Lingual Transfer Learning0
Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation0
ChatGPT vs State-of-the-Art Models: A Benchmarking Study in Keyphrase Generation Task0
CHATTY: Coupled Holistic Adversarial Transport Terms with Yield for Unsupervised Domain Adaptation0
CheckSel: Efficient and Accurate Data-valuation Through Online Checkpoint Selection0
Chemical Property Prediction Under Experimental Biases0
ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN0
ChipNeMo: Domain-Adapted LLMs for Chip Design0
Class-Aware Domain Adaptation for Improving Adversarial Robustness0
Class-Based Language Modeling for Translating into Morphologically Rich Languages0
Class Conditional Alignment for Partial Domain Adaptation0
Class-Conditional Domain Adaptation on Semantic Segmentation0
Class Distribution Alignment for Adversarial Domain Adaptation0
Classifying Tweet Level Judgements of Rumours in Social Media0
Class-Incremental Domain Adaptation0
Class Probability Matching Using Kernel Methods for Label Shift Adaptation0
Class Proportion Estimation with Application to Multiclass Anomaly Rejection0
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation0
Collaborative Learning for Enhanced Unsupervised Domain Adaptation0
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation0
Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation0
ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery0
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting0
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation0
Clone-Robust Weights in Metric Spaces: Handling Redundancy Bias for Benchmark Aggregation0
Close Yet Distinctive Domain Adaptation0
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations0
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning0
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation0
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification0
Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker Embedding0
Clustering-Based Validation Splits for Model Selection under Domain Shift0
Clustering Effect of Adversarial Robust Models0
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation0
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation0
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection0
CNN-based Action Recognition and Supervised Domain Adaptation on 3D Body Skeletons via Kernel Feature Maps0
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation0
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization0
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training0
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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