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 31013150 of 6439 papers

TitleStatusHype
Improving Domain Generalization on Gaze Estimation via Branch-out Auxiliary Regularization0
DDF: A Novel Dual-Domain Image Fusion Strategy for Remote Sensing Image Semantic Segmentation with Unsupervised Domain Adaptation0
Improving Domain Adaptation Translation with Domain Invariant and Specific Information0
Improving Domain Adaptation through Extended-Text Reading Comprehension0
Beyond Sharing Weights for Deep Domain Adaptation0
Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation0
Improving Domain Adaptation Through Class Aware Frequency Transformation0
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck0
Improving Unsupervised Domain Adaptive Re-Identification via Source-Guided Selection of Pseudo-Labeling Hyperparameters0
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning0
Improving Domain Adaptation for Machine Translation withTranslation Pieces0
In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection0
Improving Document-Level Neural Machine Translation with Domain Adaptation0
Incorporating Multiple Knowledge Sources for Targeted Aspect-based Financial Sentiment Analysis0
DCU: Using Distributional Semantics and Domain Adaptation for the Semantic Textual Similarity SemEval-2015 Task 20
Increasing Model Generalizability for Unsupervised Domain Adaptation0
Incremental Adversarial Domain Adaptation for Continually Changing Environments0
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations0
Improving Distortion Robustness of Self-supervised Speech Processing Tasks with Domain Adaptation0
Improving cross-domain dependency parsing with dependency-derived clusters0
Day-Night Adaptation: An Innovative Source-free Adaptation Framework for Medical Image Segmentation0
Incremental Open-set Domain Adaptation0
Improving colonoscopy lesion classification using semi-supervised deep learning0
Improving Citation Polarity Classification with Product Reviews0
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight0
Beyond Photo Realism for Domain Adaptation from Synthetic Data0
Improving Cause-of-Death Classification from Verbal Autopsy Reports0
Individual and Domain Adaptation in Sentence Planning for Dialogue0
Improving both domain robustness and domain adaptability in machine translation0
Improving Automated Program Repair with Domain Adaptation0
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images0
Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP0
A Learner Corpus-based Approach to Verb Suggestion for ESL0
Adaptive Object Detection with Dual Multi-Label Prediction0
Improved Techniques for Adversarial Discriminative Domain Adaptation0
DAVOS: Semi-Supervised Video Object Segmentation via Adversarial Domain Adaptation0
Improve Unsupervised Domain Adaptation with Mixup Training0
Inferring Latent Domains for Unsupervised Deep Domain Adaptation0
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding0
InfoForager: Leveraging Semantic Search with AMR for COVID-19 Research0
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs0
Improvement of Applicability in Student Performance Prediction Based on Transfer Learning0
Information-theoretic analysis for transfer learning0
Information-Theoretic Analysis of Unsupervised Domain Adaptation0
Information-theoretic Multi-view Domain Adaptation0
Information-theoretic regularization for Multi-source Domain Adaptation0
Frustratingly Easy Uncertainty Estimation for Distribution Shift0
Infrared Domain Adaptation with Zero-Shot Quantization0
DAViD: Domain Adaptive Visually-Rich Document Understanding with Synthetic Insights0
Improved Parsing and POS Tagging Using Inter-Sentence Consistency Constraints0
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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