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 651675 of 1751 papers

TitleStatusHype
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense EncodersCode1
MADG: Margin-based Adversarial Learning for Domain Generalization0
Domain Generalization by Learning from Privileged Medical Imaging Information0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving0
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization0
SSL-DG: Rethinking and Fusing Semi-supervised Learning and Domain Generalization in Medical Image SegmentationCode0
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 Generalization0
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization0
StableFDG: Style and Attention Based Learning for Federated Domain Generalization0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation0
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 Detection0
Domain Generalization in Computational Pathology: Survey and Guidelines0
Generalizing to Unseen Domains in Diabetic Retinopathy ClassificationCode0
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions0
ParisLuco3D: A high-quality target dataset for domain generalization of LiDAR perception0
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID0
DoGE: Domain Reweighting with Generalization Estimation0
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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