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 51015150 of 6439 papers

TitleStatusHype
Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation0
Optimal Transport-Based Domain Adaptation for Rotated Linear Regression0
Optimal Transport for Domain Adaptation0
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation0
Optimal Transport with Adaptive Regularisation0
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox0
Oracle Character Recognition using Unsupervised Discriminative Consistency Network0
Osaka University MT Systems for WAT 2018: Rewarding, Preordering, and Domain Adaptation0
OSAN: A One-Stage Alignment Network To Unify Multimodal Alignment and Unsupervised Domain Adaptation0
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation0
OT-Net: A Reusable Neural Optimal Transport Solver0
OurDB: Ouroboric Domain Bridging for Multi-Target Domain Adaptive Semantic Segmentation0
Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation0
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation0
Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts0
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation0
Overcoming the Domain Gap in Contrastive Learning of Neural Action Representations0
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation0
PAC-Bayes and Domain Adaptation0
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning0
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers0
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification0
PAC Learning Guarantees Under Covariate Shift0
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation0
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare0
Pair-based Self-Distillation for Semi-supervised Domain Adaptation0
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation0
PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology0
Semantic Domain Adversarial Networks for Unsupervised Domain Adaptation0
ParallelDots at SemEval-2019 Task 3: Domain Adaptation with feature embeddings for Contextual Emotion Analysis0
Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation0
PARAMANU-AYN: Pretrain from scratch or Continual Pretraining of LLMs for Legal Domain Adaptation?0
PARAMANU-GANITA: Language Model with Mathematical Capabilities0
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks0
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning0
Parameter Efficient Finetuning for Speech Emotion Recognition and Domain Adaptation0
Parameter-Efficient Legal Domain Adaptation0
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters0
Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition0
Parameter Reference Loss for Unsupervised Domain Adaptation0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception0
Parser Adaptation for Social Media by Integrating Normalization0
Parser Adaptation to the Biomedical Domain without Re-Training0
Parser Evaluation Using Derivation Trees: A Complement to evalb0
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency0
Partial Coupling of Optimal Transport for Spoken Language Identification0
Partial Distribution Matching via Partial Wasserstein Adversarial Networks0
Partial Domain Adaptation Using Graph Convolutional Networks0
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation0
Partial Feature Selection and Alignment for Multi-Source Domain 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
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