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 1201–1250 of 1751 papers

TitleStatusHype
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
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification—0
Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models—0
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning—0
Exploring Acoustic Similarity in Emotional Speech and Music via Self-Supervised Representations—0
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift—0
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets—0
Revisiting Spurious Correlation in Domain Generalization—0
Robust Domain-Free Domain Generalization with Class-aware Alignment—0
Robust Domain Generalization for Multi-modal Object Recognition—0
Robust Ensemble Morph Detection with Domain Generalization—0
Robust face anti-spoofing framework with Convolutional Vision Transformer—0
Robust Internal Representations for Domain Generalization—0
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection—0
Robust Representation Learning with Self-Distillation for Domain Generalization—0
Robust Semantic Parsing with Adversarial Learning for Domain Generalization—0
Robust sensitivity control in digital pathology via tile score distribution matching—0
RoCA: Robust Cross-Domain End-to-End Autonomous Driving—0
RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings—0
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning—0
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge—0
RPLKG: Robust Prompt Learning with Knowledge Graph—0
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens—0
SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming—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