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 651–700 of 1751 papers

TitleStatusHype
AutoAugment: Learning Augmentation Strategies From DataCode0
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data ScarcityCode0
Feature-aligned N-BEATS with Sinkhorn divergenceCode0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Adversarial Invariant LearningCode0
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity ClassificationCode0
Fairness and Accuracy under Domain GeneralizationCode0
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimalityCode0
Failure Modes of Domain Generalization AlgorithmsCode0
FABLE : Fabric Anomaly Detection Automation ProcessCode0
Exploring Language Model Generalization in Low-Resource Extractive QACode0
Exploring Flat Minima for Domain Generalization with Large Learning RatesCode0
LFME: A Simple Framework for Learning from Multiple Experts in Domain GeneralizationCode0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
Lesion Elevation Prediction from Skin Images Improves DiagnosisCode0
Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UICode0
Cross-Domain Generalization of Neural Constituency ParsersCode0
Adversarial Examples Improve Image RecognitionCode0
Explaining Domain Shifts in Language: Concept erasing for Interpretable Image ClassificationCode0
Learning to Learn Single Domain GeneralizationCode0
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain GeneralizationCode0
Learning to Generalize for Cross-domain QACode0
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic SegmentationCode0
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain AdaptationCode0
Learning Optimal Features via Partial InvarianceCode0
Episodic Training for Domain GeneralizationCode0
Enriching Patent Claim Generation with European Patent DatasetCode0
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarningCode0
Learning Fine-grained Domain Generalization via Hyperbolic State Space HallucinationCode0
Learning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet GuidanceCode0
Algorithmic Fairness Generalization under Covariate and Dependence Shifts SimultaneouslyCode0
Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney PathologyCode0
Learning Semantic Role Labeling from Compatible Label SequencesCode0
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysCode0
Magnification Generalization for Histopathology Image EmbeddingCode0
Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-SpoofingCode0
Learning Beyond Experience: Generalizing to Unseen State Space with Reservoir ComputingCode0
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Feature Generation and Hypothesis Verification for Reliable Face Anti-SpoofingCode0
Enhance the Visual Representation via Discrete Adversarial TrainingCode0
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and RestorationCode0
Adversarial Bayesian Augmentation for Single-Source Domain GeneralizationCode0
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based RetrievalCode0
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene SegmentationCode0
Cooperative Learning of Disjoint Syntax and SemanticsCode0
Language-Driven Dual Style Mixing for Single-Domain Generalized Object DetectionCode0
Joint covariate-alignment and concept-alignment: a framework for domain generalizationCode0
EllSeg-Gen, towards Domain Generalization for head-mounted eyetrackingCode0
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain SchedulerCode0
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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