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

Showing 551600 of 1751 papers

TitleStatusHype
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet ExtractionCode0
CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-AttentionCode0
Multi-Domain Long-Tailed Learning by Augmenting Disentangled RepresentationsCode0
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View DepthCode0
Domain-aware Triplet loss in Domain GeneralizationCode0
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous LabelsCode0
Domain Aligned Prefix Averaging for Domain Generalization in Abstractive SummarizationCode0
Multi-dimensional domain generalization with low-rank structuresCode0
Multilingual Event Linking to WikidataCode0
Domain-agnostic Question-Answering with Adversarial TrainingCode0
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationCode0
Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic SegmentationCode0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to ImproveCode0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
Modularity Trumps Invariance for Compositional RobustnessCode0
MVDG: A Unified Multi-view Framework for Domain GeneralizationCode0
MuDPT: Multi-modal Deep-symphysis Prompt Tuning for Large Pre-trained Vision-Language ModelsCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery TicketsCode0
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding ParadigmCode0
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack DetectionCode0
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen DatasetsCode0
Clustering-based Image-Text Graph Matching for Domain GeneralizationCode0
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language ModelsCode0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI ModelsCode0
Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy GradingCode0
Distribution-aware Noisy-label Crack SegmentationCode0
Bootstrap Generalization Ability from Loss Landscape PerspectiveCode0
Distillation-based fabric anomaly detectionCode0
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D TransformersCode0
ConStyX: Content Style Augmentation for Generalizable Medical Image SegmentationCode0
Magnification Generalization for Histopathology Image EmbeddingCode0
Discriminative Radial Domain AdaptationCode0
Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UICode0
Binary domain generalization for sparsifying binary neural networksCode0
LFME: A Simple Framework for Learning from Multiple Experts in Domain GeneralizationCode0
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain ValidationCode0
Discrete Representations Strengthen Vision Transformer RobustnessCode0
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain GeneralizationCode0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented CalibrationCode0
Hallucinating Agnostic Images to Generalize Across DomainsCode0
Learning to Learn Single Domain GeneralizationCode0
Beyond Interpretability: The Gains of Feature Monosemanticity on Model RobustnessCode0
Direct-Effect Risk Minimization for Domain GeneralizationCode0
Learning to Generalize for Cross-domain QACode0
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysCode0
Show:102550
← PrevPage 12 of 36Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450Unverified
2VOLO-D5Accuracy - All Images57.2Unverified
3ConvNeXt-BAccuracy - All Images53.5Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1Unverified
9ViT-16/L-224Accuracy - All Images49Unverified
10ResNet-50 (gn)Accuracy - All Images48.9Unverified