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

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Showing 1401–1450 of 1751 papers

TitleStatusHype
Multilingual Event Linking to WikidataCode0
Few-Shot Object Detection in Unseen Domains—0
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain GeneralizationCode0
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search—0
Mitosis domain generalization in histopathology images -- The MIDOG challenge—0
Hospital-Agnostic Image Representation Learning in Digital Pathology—0
CADG: A Model Based on Cross Attention for Domain Generalization—0
Learning Instance-Specific Adaptation for Cross-Domain Segmentation—0
Style-Guided Domain Adaptation for Face Presentation Attack Detection—0
Towards Domain Generalization in Object Detection—0
FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization—0
Compound Domain Generalization via Meta-Knowledge Encoding—0
Domain-Generalized Textured Surface Anomaly Detection—0
Deep Frequency Filtering for Domain Generalization—0
Feature Distribution Matching for Federated Domain GeneralizationCode0
Time-domain Generalization of Kron Reduction—0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine—0
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness—0
Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering—0
Domain Generalization using Pretrained Models without Fine-tuning—0
Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain AdaptationCode0
Federated and Generalized Person Re-identification through Domain and Feature Hallucinating—0
Global-Local Regularization Via Distributional RobustnessCode0
DGSS : Domain Generalized Semantic Segmentation using Iterative Style Mining and Latent Representation Alignment—0
Person Re-identification: A Retrospective on Domain Specific Open Challenges and Future Trends—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
Source data selection for out-of-domain generalization—0
Certifying Out-of-Domain Generalization for Blackbox FunctionsCode0
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization—0
On the Limitations of General Purpose Domain Generalisation Methods—0
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study—0
Conditional entropy minimization principle for learning domain invariant representation featuresCode0
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction—0
Moving Beyond Navigation with Active Neural SLAM—0
LawngNLI: a multigranular, long-premise NLI benchmark for evaluating models’ in-domain generalization from short to long contexts—0
Preserving Domain Private Representation via Mutual Information Maximization—0
Style Neophile: Constantly Seeking Novel Styles for Domain Generalization—0
Contrastive Regression for Domain Adaptation on Gaze Estimation—0
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization—0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
BoosterNet: Improving Domain Generalization of Deep Neural Nets Using Culpability-Ranked Features—0
Meta Convolutional Neural Networks for Single Domain Generalization—0
Feature Generation and Hypothesis Verification for Reliable Face Anti-SpoofingCode0
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation—0
MVDG: A Unified Multi-view Framework for Domain GeneralizationCode0
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for Cross-Domain Robustness in Action RecognitionCode0
Automated Domain Discovery from Multiple Sources to Improve Zero-Shot GeneralizationCode0
Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data—0
A Style and Semantic Memory Mechanism for Domain Generalization—0
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All datasetsPACSVizWiz-ClassificationImageNet-COffice-HomeImageNet-AImageNet-RDomainNetVLCSTerraIncognitaGTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-SketchGTA5 to Cityscapes

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99—Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6—Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9—Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6—Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4—Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3—Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2—Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97—Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8—Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450—Unverified
2VOLO-D5Accuracy - All Images57.2—Unverified
3ConvNeXt-BAccuracy - All Images53.5—Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7—Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5—Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7—Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6—Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1—Unverified
9ViT-16/L-224Accuracy - All Images49—Unverified
10ResNet-50 (gn)Accuracy - All Images48.9—Unverified