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
Environment Agnostic Representation for Visual Reinforcement LearningCode1
Energy-Based Test Sample Adaptation for Domain GeneralizationCode1
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
Adaptive Risk Minimization: Learning to Adapt to Domain ShiftCode1
Domain-Specific Bias Filtering for Single Labeled Domain GeneralizationCode1
Calibrated Feature Decomposition for Generalizable Person Re-IdentificationCode1
SETA: Semantic-Aware Token Augmentation for Domain GeneralizationCode1
Domain-Adversarial Training of Neural NetworksCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive LearningCode1
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion RecognitionCode1
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
ELFNet: Evidential Local-global Fusion for Stereo MatchingCode1
Domain Generalization for Medical Imaging Classification with Linear-Dependency RegularizationCode1
Source-Free Open Compound Domain Adaptation in Semantic SegmentationCode1
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
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point CloudCode1
DPStyler: Dynamic PromptStyler for Source-Free Domain GeneralizationCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic SegmentationCode1
Domain-General Crowd Counting in Unseen ScenariosCode1
Style Normalization and Restitution for Domain Generalization and AdaptationCode1
Causal Balancing for Domain GeneralizationCode1
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual ReasoningCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Unlocking Emergent Modularity in Large Language ModelsCode1
Task-Aware Clustering for Prompting Vision-Language ModelsCode1
Task-level Distributionally Robust Optimization for Large Language Model-based Dense RetrievalCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
ERM++: An Improved Baseline for Domain GeneralizationCode1
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
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and CountingCode1
Which Invariance Should We Transfer? A Causal Minimax Learning ApproachCode1
Dual-stream Feature Augmentation for Domain GeneralizationCode1
Feature Stylization and Domain-aware Contrastive Learning for Domain GeneralizationCode1
Toward Real-world Single Image Deraining: A New Benchmark and BeyondCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
Dynamic Domain GeneralizationCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective DebiasingCode1
Dynamic Domain Adaptation for Efficient InferenceCode1
FSDR: Frequency Space Domain Randomization for Domain GeneralizationCode1
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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
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