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 12011250 of 6439 papers

TitleStatusHype
Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-IDCode1
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesCode1
Improving Multi-Party Dialogue Discourse Parsing via Domain IntegrationCode1
Contrastive Mean Teacher for Domain Adaptive Object DetectorsCode1
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation0
Applications of Large Language Model Reasoning in Feature Generation0
Clustering Effect of Adversarial Robust Models0
Application of Unsupervised Domain Adaptation for Structural MRI Analysis0
Adaptation and Combination of NMT Systems: The KIT Translation Systems for IWSLT 20160
Clustering-Based Validation Splits for Model Selection under Domain Shift0
Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker Embedding0
Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection0
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification0
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation0
Appearance Based Deep Domain Adaptation for the Classification of Aerial Images0
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks0
A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation0
1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation0
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications0
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization0
Advancing 3D Point Cloud Understanding through Deep Transfer Learning: A Comprehensive Survey0
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization0
A physics-based domain adaptation framework for modelling and forecasting building energy systems0
Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning0
APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task0
Deep Adversarial Domain Adaptation Based on Multi-layer Joint Kernelized Distance0
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification0
Closing the Gap: Domain Adaptation from Explicit to Implicit Discourse Relations0
Close Yet Distinctive Domain Adaptation0
Clone-Robust Weights in Metric Spaces: Handling Redundancy Bias for Benchmark Aggregation0
CLIP the Divergence: Language-guided Unsupervised Domain Adaptation0
A Parametric Top-View Representation of Complex Road Scenes0
An Unsupervised System for Parallel Corpus Filtering0
Advances and Challenges in Meta-Learning: A Technical Review0
Adaptation Algorithm and Theory Based on Generalized Discrepancy0
Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting0
Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation0
ClearVision: Leveraging CycleGAN and SigLIP-2 for Robust All-Weather Classification in Traffic Camera Imagery0
An Unsupervised Domain Adaptive Approach for Multimodal 2D Object Detection in Adverse Weather Conditions0
Adaptation Across Extreme Variations using Unlabeled Domain Bridges0
Cleaning Noisy Labels by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation0
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation0
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training0
Collaborative Learning for Enhanced Unsupervised Domain Adaptation0
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation0
An Unsupervised Domain Adaptation Method for Locating Manipulated Region in partially fake Audio0
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation0
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors0
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features0
Class Proportion Estimation with Application to Multiclass Anomaly Rejection0
Show:102550
← PrevPage 25 of 129Next →

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