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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1126–1150 of 1751 papers

TitleStatusHype
Multisource Semisupervised Adversarial Domain Generalization Network for Cross-Scene Sea-Land Clutter Classification—0
Multi tasks RetinaNet for mitosis detection—0
Multi-View Domain Generalization for Visual Recognition—0
Multi-View Knowledge Distillation from Crowd Annotations for Out-of-Domain Generalization—0
Navigating Distribution Shifts in Medical Image Analysis: A Survey—0
NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation—0
NeuGen: Amplifying the 'Neural' in Neural Radiance Fields for Domain Generalization—0
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers—0
NeuRN: Neuro-inspired Domain Generalization for Image Classification—0
Neuron Coverage-Guided Domain Generalization—0
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning—0
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization—0
Non-Invasive Glucose Prediction System Enhanced by Mixed Linear Models and Meta-Forests for Domain Generalization—0
Hypernetwork-Driven Model Fusion for Federated Domain Generalization—0
Non-stationary Domain Generalization: Theory and Algorithm—0
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts—0
NormAUG: Normalization-guided Augmentation for Domain Generalization—0
No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather—0
Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering—0
Novel Human-Object Interaction Detection via Adversarial Domain Generalization—0
NuwaTS: a Foundation Model Mending Every Incomplete Time Series—0
Object Style Diffusion for Generalized Object Detection in Urban Scene—0
ODG-Q: Robust Quantization via Online Domain Generalization—0
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model—0
On Calibration and Out-of-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