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 28012850 of 6439 papers

TitleStatusHype
Adversarial Open Domain Adaption Framework (AODA): Sketch-to-Photo Synthesis0
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation0
Geometric Unsupervised Domain Adaptation for Semantic Segmentation0
Geometry-aware Domain Adaptation for Unsupervised Alignment of Word Embeddings0
Expanding Object Detector's Horizon: Incremental Learning Framework for Object Detection in Videos0
Controlled Generation of Unseen Faults for Partial and Open-Partial Domain Adaptation0
A Systematic Evaluation of Domain Adaptation Algorithms On Time Series Data0
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen0
IIE’s Neural Machine Translation Systems for WMT200
Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching0
GeoNet: Benchmarking Unsupervised Adaptation across Geographies0
Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi's domain adaptability0
Category-Adaptive Domain Adaptation for Semantic Segmentation0
GeT: Generative Target Structure Debiasing for Domain Adaptation0
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes0
Examining and Adapting Time for Multilingual Classification via Mixture of Temporal Experts0
Critically examining the Domain Generalizability of Facial Expression Recognition models0
Agile Domain Adaptation0
Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations0
CUPR: Contrastive Unsupervised Learning for Person Re-identification0
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images0
Evolving Domain Adaptation of Pretrained Language Models for Text Classification0
Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study0
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition0
Global Distance-distributions Separation for Unsupervised Person Re-identification0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision0
Adapting Large Language Models for Character-based Augmentative and Alternative Communication0
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation0
Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation0
IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining0
iKernels-Core: Tree Kernel Learning for Textual Similarity0
Contrastive Regression for Domain Adaptation on Gaze Estimation0
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation0
GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation0
Event Recognition in Videos by Learning from Heterogeneous Web Sources0
A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques0
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval0
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies0
Adversarial Multiple Source Domain Adaptation0
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks0
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels0
Evaluation of Transfer Learning and Domain Adaptation for Analyzing German-Speaking Job Advertisements0
Evaluation of the domain adaptation of MT systems in ACCURAT0
Gradient Harmonization in Unsupervised Domain Adaptation0
Evaluation of different strategies for domain adaptation in opinion mining0
Gradient Regularized Contrastive Learning for Continual Domain Adaptation0
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation0
Asymmetric Mutual Learning for Multi-source Unsupervised Sentiment Adaptation with Dynamic Feature Network0
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection0
Evaluating the Learning Curve of Domain Adaptive Statistical Machine Translation Systems0
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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