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 701–750 of 1751 papers

TitleStatusHype
Hierarchical Variational Auto-Encoding for Unsupervised Domain Generalization—0
Hospital-Agnostic Image Representation Learning in Digital Pathology—0
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning—0
iMedic: Towards Smartphone-based Self-Auscultation Tool for AI-Powered Pediatric Respiratory Assessment—0
Deep Frequency Filtering for Domain Generalization—0
HARD: Hard Augmentations for Robust Distillation—0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions—0
Deep Domain Generalization via Conditional Invariant Adversarial Networks—0
Handling Domain Shifts for Anomalous Sound Detection: A Review of DCASE-Related Work—0
Harmonizing and Merging Source Models for CLIP-based Domain Generalization—0
Few-Shot Object Detection in Unseen Domains—0
Few-shot Adaptation of Multi-modal Foundation Models: A Survey—0
Deep Domain-Adversarial Image Generation for Domain Generalisation—0
FEED: Fairness-Enhanced Meta-Learning for Domain Generalization—0
Decoupled Prototype Learning for Reliable Test-Time Adaptation—0
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization—0
Bag of Tricks for Out-of-Distribution Generalization—0
Guidance Not Obstruction: A Conjugate Consistent Enhanced Strategy for Domain Generalization—0
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization—0
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation—0
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis—0
A Causal Framework to Unify Common Domain Generalization Approaches—0
Graph Augmentation for Cross Graph Domain Generalization—0
FedPartWhole: Federated domain generalization via consistent part-whole hierarchies—0
FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation—0
Deep Domain Generalization with Feature-norm Network—0
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization—0
FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization—0
On the Limitations of General Purpose Domain Generalisation Methods—0
Fine-Grained Hard Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset—0
Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding—0
DecAug: Augmenting HOI Detection via Decomposition—0
Improving Pre-trained Language Model Fine-tuning with Noise Stability Regularization—0
Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation—0
Federated Learning with Domain Generalization—0
DEBATE, TRAIN, EVOLVE: Self Evolution of Language Model Reasoning—0
Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training—0
FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization—0
FIXED: Frustratingly Easy Domain Generalization with Mixup—0
Federated Domain Generalization with Data-free On-server Matching Gradient—0
Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations—0
AXCEL: Automated eXplainable Consistency Evaluation using LLMs—0
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport—0
Federated Domain Generalization: A Survey—0
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation—0
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models—0
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization—0
Show:102550
← PrevPage 15 of 36Next →
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