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 58015850 of 6439 papers

TitleStatusHype
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder0
Geodesic Optimization for Predictive Shift Adaptation on EEG data0
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation0
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
Geometry-Aware Network for Domain Adaptive Semantic Segmentation0
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
Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations0
Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study0
Global Distance-distributions Separation for Unsupervised Person Re-identification0
Global High Categorical Resolution Land Cover Mapping via Weak Supervision0
Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD)0
Going Deeper into Action Recognition: A Survey0
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER0
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
GPLAC: Generalizing Vision-Based Robotic Skills using Weakly Labeled Images0
GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval0
GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder0
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks0
Gradient Harmonization in Unsupervised Domain Adaptation0
Gradient Regularized Contrastive Learning for Continual Domain Adaptation0
Gradient Regularized Contrastive Learning for Continual Domain Adaptation0
Gradual Domain Adaptation for Graph Learning0
Gradual Domain Adaptation in the Wild: When Intermediate Distributions are Absent0
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization0
Gradual Domain Adaptation via Self-Training of Auxiliary Models0
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptation0
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation0
Introducing Intermediate Domains for Effective Self-Training during Test-Time0
Grammar Error Correction Using Pseudo-Error Sentences and Domain Adaptation0
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation0
Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval0
Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties0
Graph Domain Adaptation: A Generative View0
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation0
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction0
Graph Domain Adaptation with Localized Graph Signal Representations0
Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning0
Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation0
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision0
Grassmannian Graph-attentional Landmark Selection for Domain Adaptation0
GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains0
Domain Adaptation for Real-Time Student Performance Prediction0
Group Feature Learning and Domain Adversarial Neural Network for aMCI Diagnosis System Based on EEG0
Show:102550
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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