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 1551–1600 of 1751 papers

TitleStatusHype
PhysMLE: Generalizable and Priors-Inclusive Multi-task Remote Physiological Measurement—0
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment—0
Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts—0
Policy-Gradient Training of Language Models for Ranking—0
PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition—0
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition—0
Posterior Differential Regularization with f-divergence for Improving Model Robustness—0
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks—0
Predicting human decisions with behavioral theories and machine learning—0
Predicting Out-of-Domain Generalization with Neighborhood Invariance—0
Preserving Domain Private Representation via Mutual Information Maximization—0
Two-stage LLM Fine-tuning with Less Specialization and More Generalization—0
Preserving Silent Features for Domain Generalization—0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment—0
ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification—0
Progressive Random Convolutions for Single Domain Generalization—0
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization—0
Prompt Diffusion Robustifies Any-Modality Prompt Learning—0
Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization—0
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization—0
Prompt-Guided Internal States for Hallucination Detection of Large Language Models—0
Prompting-based Temporal Domain Generalization—0
PromptSync: Bridging Domain Gaps in Vision-Language Models through Class-Aware Prototype Alignment and Discrimination—0
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces—0
Pruning Self-Attention for Zero-Shot Multi-Speaker Text-to-Speech—0
Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments—0
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP—0
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization—0
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain—0
Randomized Adversarial Style Perturbations for Domain Generalization—0
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information—0
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget—0
Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models—0
Reappraising Domain Generalization in Neural Networks—0
ReBot: Scaling Robot Learning with Real-to-Sim-to-Real Robotic Video Synthesis—0
Domain Generalization via Universal Non-volume Preserving Models—0
ReCoM: Realistic Co-Speech Motion Generation with Recurrent Embedded Transformer—0
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition—0
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization—0
Reducing Spurious Correlation for Federated Domain Generalization—0
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less—0
A Theory of Relation Learning and Cross-domain Generalization—0
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization—0
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations—0
Rescuing referral failures during automated diagnosis of domain-shifted medical images—0
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization—0
Rethinking Domain Generalization Baselines—0
Rethinking domain generalization in medical image segmentation: One image as one domain—0
Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space—0
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis—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