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 451500 of 1751 papers

TitleStatusHype
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object DetectionCode1
Domain Generalization for Object Recognition with Multi-task AutoencodersCode1
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain GeneralizationCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Domain Generalization for Medical Imaging Classification with Linear-Dependency RegularizationCode1
Informative Dropout for Robust Representation Learning: A Shape-bias PerspectiveCode1
Calibrated Feature Decomposition for Generalizable Person Re-IdentificationCode1
Style Normalization and Restitution for Domain Generalization and AdaptationCode1
Domain-Adversarial Training of Neural NetworksCode1
Instance-Aware Domain Generalization for Face Anti-SpoofingCode1
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofingCode1
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-SpoofingCode1
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen DomainsCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person MatchingCode1
VLLaVO: Mitigating Visual Gap through LLMsCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
Domain Decorrelation with Potential Energy RankingCode1
DomainDrop: Suppressing Domain-Sensitive Channels for Domain GeneralizationCode1
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization AlgorithmsCode1
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive LearningCode1
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision TransformerCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching NetworksCode1
Domain-General Crowd Counting in Unseen ScenariosCode1
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image SegmentationCode1
Causal Balancing for Domain GeneralizationCode1
Test-time Fourier Style Calibration for Domain GeneralizationCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
Learning Fair Representation via Distributional Contrastive DisentanglementCode1
Learning Causal Representations of Single Cells via Sparse Mechanism Shift ModelingCode1
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image SegmentationCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
Learning Domain Invariant Prompt for Vision-Language ModelsCode1
Domain Generalization by Mutual-Information Regularization with Pre-trained ModelsCode1
Causality Inspired Representation Learning for Domain GeneralizationCode1
An Empirical Framework for Domain Generalization in Clinical SettingsCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
Towards Domain-agnostic Depth CompletionCode1
Which Invariance Should We Transfer? A Causal Minimax Learning ApproachCode1
Learning Invariant Representations with a Nonparametric Nadaraya-Watson HeadCode1
Learning Meta Pattern for Face Anti-SpoofingCode1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective DebiasingCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
Learning to Diversify for Single Domain GeneralizationCode1
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center StudyCode1
Learning to Balance Specificity and Invariance for In and Out of Domain GeneralizationCode1
Learning to Generalize across Domains on Single Test SamplesCode1
DomainLab: A modular Python package for domain generalization in deep learningCode1
Show:102550
← PrevPage 10 of 36Next →

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
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8Unverified
10MIRO (RegNetY-16GF, SWAD)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