SOTAVerified

Domain Generalization

The idea of Domain Generalization is to learn from one or multiple training domains, to extract a domain-agnostic model which can be applied to an unseen domain

Source: Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning

Papers

Showing 251300 of 1751 papers

TitleStatusHype
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
An Information-theoretic Approach to Distribution ShiftsCode1
Fishr: Invariant Gradient Variances for Out-of-Distribution GeneralizationCode1
Discovering environments with XRMCode1
AAPL: Adding Attributes to Prompt Learning for Vision-Language ModelsCode1
Fine-Tuning CLIP's Last Visual Projector: A Few-Shot CornucopiaCode1
Free Lunch for Domain Adversarial Training: Environment Label SmoothingCode1
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual LearningCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
ASPS: Augmented Segment Anything Model for Polyp SegmentationCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
DGMamba: Domain Generalization via Generalized State Space ModelCode1
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationCode1
Disentangled Feature Representation for Few-shot Image ClassificationCode1
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization TechniquesCode1
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack DetectionCode1
Selecting Data Augmentation for Simulating InterventionsCode1
A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative LearningCode1
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain GeneralizationCode1
Multi-Granularity Hand Action DetectionCode1
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable PartsCode1
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous DrivingCode1
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias ReductionCode1
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous DrivingCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic SegmentationCode1
Deep Learning for Face Anti-Spoofing: A SurveyCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
Feature Alignment and Uniformity for Test Time AdaptationCode1
Federated Domain Generalization for Image Recognition via Cross-Client Style TransferCode1
Feature Stylization and Domain-aware Contrastive Learning for Domain GeneralizationCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Compound Text-Guided Prompt Tuning via Image-Adaptive CuesCode1
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency SpaceCode1
Deep CORAL: Correlation Alignment for Deep Domain AdaptationCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language GuidanceCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Exploring Data Aggregation and Transformations to Generalize across Visual DomainsCode1
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose EstimationCode1
Deeper, Broader and Artier Domain GeneralizationCode1
Consistency-guided Prompt Learning for Vision-Language ModelsCode1
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity RecognitionCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic RetinopathyCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native SegmentationCode1
Collaborating Foundation Models for Domain Generalized Semantic SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97Unverified
9MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8Unverified
10CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450Unverified
2VOLO-D5Accuracy - All Images57.2Unverified
3ConvNeXt-BAccuracy - All Images53.5Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1Unverified
9ViT-16/L-224Accuracy - All Images49Unverified
10ResNet-50 (gn)Accuracy - All Images48.9Unverified