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 38513900 of 6439 papers

TitleStatusHype
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id0
Adaptive Unbiased Teacher for Cross-Domain Object Detection0
Source-Target Unified Knowledge Distillation for Memory-Efficient Federated Domain Adaptation on Edge Devices0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks0
Knowledge Transfer based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis0
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks0
Semi-Supervised Adversarial Discriminative Domain AdaptationCode0
Training on Test Data with Bayesian Adaptation for Covariate Shift0
DAMix: A Density-Aware Mixup Augmentation for Single Image Dehazing under Domain Shift0
Multi-source Few-shot Domain Adaptation0
Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble0
Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation0
The Trade-offs of Domain Adaptation for Neural Language Models0
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment0
Ultrasound Domain Adaptation Using Frequency Domain Analysis0
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets0
Comparison of single and multitask learning for predicting cognitive decline based on MRI dataCode0
Improving Span Representation for Domain-adapted Coreference ResolutionCode0
Language Identification with a Reciprocal Rank ClassifierCode0
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation0
Unsupervised Domain Adaptation for Semantic Segmentation via Low-level Edge Information Transfer0
Self-Adaptive Partial Domain Adaptation0
Task-adaptive Pre-training of Language Models with Word Embedding Regularization0
Unsupervised domain adaptation with non-stochastic missing dataCode0
On the inductive biases of deep domain adaptation0
Translation Transformers Rediscover Inherent Data DomainsCode0
Efficient Domain Adaptation of Language Models via Adaptive Tokenization0
Cross-lingual Transfer of Monolingual Models0
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation0
Foreground Object Structure Transfer for Unsupervised Domain Adaptation0
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-IdentificationCode0
Different Strokes for Different Folks: Investigating Appropriate Further Pre-training Approaches for Diverse Dialogue Tasks0
Cross-Region Domain Adaptation for Class-level Alignment0
Adversarially Trained Object Detector for Unsupervised Domain Adaptation0
Task Guided Compositional Representation Learning for ZDA0
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation0
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search0
Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification0
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages0
MLReal: Bridging the gap between training on synthetic data and real data applications in machine learning0
Rule-based Morphological Inflection Improves Neural Terminology TranslationCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Towards Robust Cross-domain Image Understanding with Unsupervised Noise Removal0
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation0
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation0
On Characterizing the Trade-off in Invariant Representation LearningCode0
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation0
Improving Transferability of Domain Adaptation Networks Through Domain Alignment LayersCode0
Automatic Online Multi-Source Domain AdaptationCode0
Adversarial Robustness for Unsupervised 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
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