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 651–700 of 1751 papers

TitleStatusHype
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense EncodersCode1
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
MADG: Margin-based Adversarial Learning for Domain Generalization—0
Domain Generalization by Learning from Privileged Medical Imaging Information—0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image SegmentationCode0
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization—0
Robust Fine-Tuning of Vision-Language Models for Domain GeneralizationCode0
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization AlgorithmsCode1
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization—0
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization—0
StableFDG: Style and Attention Based Learning for Federated Domain Generalization—0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved GeneralizationCode0
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
SimMMDG: A Simple and Effective Framework for Multi-modal Domain GeneralizationCode1
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection—0
Domain Generalization in Computational Pathology: Survey and Guidelines—0
Generalizing to Unseen Domains in Diabetic Retinopathy ClassificationCode0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception—0
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions—0
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID—0
DoGE: Domain Reweighting with Generalization Estimation—0
Towards contrast-agnostic soft segmentation of the spinal cordCode0
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective DebiasingCode1
Unlocking Emergent Modularity in Large Language ModelsCode1
Domain Generalization Using Large Pretrained Models with Mixture-of-AdaptersCode1
Generalizable Person Search on Open-world User-Generated Video Content—0
Towards Unified and Effective Domain GeneralizationCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters—0
ADMEOOD: Out-of-Distribution Benchmark for Drug Property Prediction—0
Improving mitosis detection on histopathology images using large vision-language models—0
Domain Generalization by Rejecting Extreme AugmentationsCode0
Activate and Reject: Towards Safe Domain Generalization under Category Shift—0
Policy-Gradient Training of Language Models for Ranking—0
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis—0
Domain Generalization for Medical Image Analysis: A Review—0
TRAM: Bridging Trust Regions and Sharpness Aware MinimizationCode0
BioBridge: Bridging Biomedical Foundation Models via Knowledge GraphsCode1
Robust Novelty Detection through Style-Conscious Feature RankingCode0
Clustering-based Image-Text Graph Matching for Domain GeneralizationCode0
Towards Domain-Specific Features Disentanglement for Domain Generalization—0
Prompting-based Temporal Domain Generalization—0
CODA: Temporal Domain Generalization via Concept Drift Simulator—0
Incorporating Supervised Domain Generalization into Data Augmentation—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