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 1076–1100 of 1751 papers

TitleStatusHype
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
Show:102550
← PrevPage 44 of 71Next →
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