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 51515200 of 6439 papers

TitleStatusHype
Partial Identifiability for Domain Adaptation0
Partially blind domain adaptation for age prediction from DNA methylation data0
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network0
Particle identification with machine learning from incomplete data in the ALICE experiment0
Part-level Car Parsing and Reconstruction from Single Street View0
Part-of-Speech Tagging for Historical English0
Passive and Pervasive Use of Bilingual Dictionary in Statistical Machine Translation0
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation0
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective0
Patent Retrieval: A Literature Review0
Patient-Specific Domain Adaptation for Fast Optical Flow Based on Teacher-Student Knowledge Transfer0
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics0
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation0
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label0
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation0
PCT: Perspective Cue Training Framework for Multi-Camera BEV Segmentation0
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition0
PDAML: A Pseudo Domain Adaptation Paradigm for Subject-independent EEG-based Emotion Recognition0
PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models0
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation0
Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation0
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge0
Personalized Federated Domain Adaptation for Item-to-Item Recommendation0
Personalized Machine Translation: Predicting Translational Preferences0
Personalized Machine Translation: Preserving Original Author Traits0
Personalized One-Shot Lipreading for an ALS Patient0
Phrase Table Induction Using In-Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation0
Phrase Training Based Adaptation for Statistical Machine Translation0
Phylogenetic Convolutional Neural Networks in Metagenomics0
Physically Interpretable Probabilistic Domain Characterization0
Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising0
Physics-based Differentiable Depth Sensor Simulation0
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets0
Physics-Informed Deep Learning and Partial Transfer Learning for Bearing Fault Diagnosis in the Presence of Highly Missing Data0
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation0
PiPa++: Towards Unification of Domain Adaptive Semantic Segmentation via Self-supervised Learning0
Pivot Based Language Modeling for Improved Neural Domain Adaptation0
Pix2Vex: Image-to-Geometry Reconstruction using a Smooth Differentiable Renderer0
Pixel and Feature Level Based Domain Adaption for Object Detection in Autonomous Driving0
Pixel-level Intra-domain Adaptation for Semantic Segmentation0
Pixel-wise Crowd Understanding via Synthetic Data0
PJAIT Systems for the IWSLT 2015 Evaluation Campaign Enhanced by Comparable Corpora0
PJAIT Systems for the WMT 20160
PJIIT's systems for WMT 2017 Conference0
PlantBert: An Open Source Language Model for Plant Science0
Play and Learn: Using Video Games to Train Computer Vision Models0
PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack0
PLUTO: Automated Solutions for Patent Translation0
PnP Restoration with Domain Adaptation for SANS0
PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion0
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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