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 551–600 of 1751 papers

TitleStatusHype
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization—0
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-SpoofingCode1
Rethinking Multi-domain Generalization with A General Learning ObjectiveCode1
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery—0
Gradient Alignment for Cross-Domain Face Anti-SpoofingCode2
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization—0
Out-of-Domain Generalization in Dynamical Systems ReconstructionCode0
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition—0
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks—0
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-AttentionCode0
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm SegmentationCode0
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented CalibrationCode0
Assessing generalization capability of text ranking models in Polish—0
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis—0
A synthetic data approach for domain generalization of NLI models—0
Do causal predictors generalize better to new domains?Code1
Quantified Task Misalignment to Inform PEFT: An Exploration of Domain Generalization and Catastrophic Forgetting in CLIP—0
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing DiffusionCode0
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction DataCode2
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain—0
Generalizing across Temporal Domains with Koopman Operators—0
Hypernetwork-Driven Model Fusion for Federated Domain Generalization—0
Multisource Semisupervised Adversarial Domain Generalization Network for Cross-Scene Sea-Land Clutter Classification—0
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning—0
Domain Generalization with Small Data—0
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object DetectionCode1
Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach—0
A Survey on Domain Generalization for Medical Image AnalysisCode2
Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?—0
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapCode0
Causal Feature Selection for Responsible Machine Learning—0
SLYKLatent: A Learning Framework for Gaze Estimation Using Deep Facial Feature Learning—0
Instance Paradigm Contrastive Learning for Domain Generalization—0
Understanding Domain Generalization: A Noise Robustness PerspectiveCode0
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain GeneralizationCode1
SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming—0
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization—0
Enhancing Evolving Domain Generalization through Dynamic Latent Representations—0
Adversarial Supervision Makes Layout-to-Image Diffusion Models ThriveCode2
Decoupled Prototype Learning for Reliable Test-Time Adaptation—0
Adapting Large Language Models for Document-Level Machine Translation—0
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations—0
Singer Identity Representation Learning using Self-Supervised TechniquesCode2
Any-Way Meta Learning—0
Meta-forests: Domain generalization on random forests with meta-learning—0
InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization—0
VLLaVO: Mitigating Visual Gap through LLMsCode1
Preserving Silent Features for Domain Generalization—0
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated 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