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 1051–1100 of 1751 papers

TitleStatusHype
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis—0
Policy-Gradient Training of Language Models for Ranking—0
Robust Novelty Detection through Style-Conscious Feature RankingCode0
TRAM: Bridging Trust Regions and Sharpness Aware MinimizationCode0
Domain Generalization for Medical Image Analysis: A Review—0
Towards Domain-Specific Features Disentanglement for Domain Generalization—0
Clustering-based Image-Text Graph Matching for Domain GeneralizationCode0
Prompting-based Temporal Domain Generalization—0
CODA: Temporal Domain Generalization via Concept Drift Simulator—0
Incorporating Supervised Domain Generalization into Data Augmentation—0
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI ModelsCode0
Enhancing Representation Generalization in Authorship Identification—0
Rethinking Domain Generalization: Discriminability and GeneralizabilityCode0
Diverse Target and Contribution Scheduling for Domain Generalization—0
Domain generalization across tumor types, laboratories, and species -- insights from the 2022 edition of the Mitosis Domain Generalization Challenge—0
Robust Internal Representations for Domain Generalization—0
CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading—0
Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic SegmentationCode0
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature AlignmentCode0
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs—0
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments—0
Generalizing Across Domains in Diabetic Retinopathy via Variational AutoencodersCode0
Multi-dimensional domain generalization with low-rank structuresCode0
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective—0
Domain Generalization with Fourier Transform and Soft ThresholdingCode0
Context is Environment—0
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy ClassificationCode0
Towards Reliable Domain Generalization: A New Dataset and Evaluations—0
Exploring Flat Minima for Domain Generalization with Large Learning RatesCode0
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization—0
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens—0
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding ParadigmCode0
SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge—0
LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models—0
Domain Generalization via Balancing Training Difficulty and Model Capability—0
Domain Generalization without Excess Empirical Risk—0
iBARLE: imBalance-Aware Room Layout Estimation—0
Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech—0
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and RestorationCode0
Multi-Scale and Multi-Layer Contrastive Learning for Domain GeneralizationCode0
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive LearningCode0
Unsupervised Prototype Adapter for Vision-Language Models—0
GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised LearningCode0
TDG: Text-guided Domain Generalization—0
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation—0
ADRMX: Additive Disentanglement of Domain Features with Remix Loss—0
DOMINO: Domain-invariant Hyperdimensional Classification for Multi-Sensor Time Series Data—0
ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals—0
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous LabelsCode0
Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context ExtractionCode0
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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