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 1–50 of 1751 papers

TitleStatusHype
MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling—0
GLAD: Generalizable Tuning for Vision-Language Models—0
Simulate, Refocus and Ensemble: An Attention-Refocusing Scheme for Domain GeneralizationCode0
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofingCode1
From Physics to Foundation Models: A Review of AI-Driven Quantitative Remote Sensing Inversion—0
Integrated Structural Prompt Learning for Vision-Language Models—0
Prompt-Free Conditional Diffusion for Multi-object Image AugmentationCode1
Feed-Forward SceneDINO for Unsupervised Semantic Scene CompletionCode2
Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations—0
Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization—0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and TransferabilityCode1
FixCLR: Negative-Class Contrastive Learning for Semi-Supervised Domain Generalization—0
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools—0
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities—0
Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis—0
Domain Generalization for Person Re-identification: A Survey Towards Domain-Agnostic Person MatchingCode1
ConStyX: Content Style Augmentation for Generalizable Medical Image SegmentationCode0
RoCA: Robust Cross-Domain End-to-End Autonomous Driving—0
Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic SegmentationCode1
Harmonizing and Merging Source Models for CLIP-based Domain Generalization—0
FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient MatchingCode0
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis—0
Play to Generalize: Learning to Reason Through Game PlayCode2
Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations—0
Generalized Trajectory Scoring for End-to-end Multimodal PlanningCode3
On Inverse Problems, Parameter Estimation, and Domain Generalization—0
UniPTMs: The First Unified Multi-type PTM Site Prediction Model via Master-Slave Architecture-Based Multi-Stage Fusion Strategy and Hierarchical Contrastive LossCode0
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir ComputingCode0
VUDG: A Dataset for Video Understanding Domain Generalization—0
A Flat Minima Perspective on Understanding Augmentations and Model Robustness—0
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget—0
Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction—0
Point-MoE: Towards Cross-Domain Generalization in 3D Semantic Segmentation via Mixture-of-Experts—0
Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain GeneralizationCode0
Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive LearningCode0
IRS: Incremental Relationship-guided Segmentation for Digital PathologyCode0
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains—0
Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System CollaborationCode2
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models—0
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image SegmentationCode1
Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding—0
Dual-Path Stable Soft Prompt Generation for Domain Generalization—0
Distilling LLM Agent into Small Models with Retrieval and Code ToolsCode3
CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-AttentionCode0
Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPOCode4
Single Domain Generalization for Few-Shot Counting via Universal Representation MatchingCode0
Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces—0
Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches—0
Geometrically Regularized Transfer Learning with On-Manifold and Off-Manifold Perturbation—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
9MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8—Unverified
10CAR-FT (CLIP, ViT-B/16)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