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 901950 of 1751 papers

TitleStatusHype
Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot GeneralizationCode0
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain GeneralizationCode1
Texture Learning Domain Randomization for Domain Generalized SegmentationCode1
Towards Domain Generalization for ECG and EEG Classification: Algorithms and BenchmarksCode1
Feature Alignment and Uniformity for Test Time AdaptationCode1
Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography0
Sharpness-Aware Gradient Matching for Domain GeneralizationCode1
Finding Competence Regions in Domain GeneralizationCode0
Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less0
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology0
Domain Generalization via Nuclear Norm RegularizationCode0
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues0
Modality-Agnostic Debiasing for Single Domain Generalization0
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models0
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization0
Neuron Structure Modeling for Generalizable Remote Physiological MeasurementCode1
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?0
Adaptive Texture Filtering for Single-Domain Generalized SegmentationCode0
SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic DataCode1
Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection0
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization0
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability0
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View0
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive LearningCode0
Domain-aware Triplet loss in Domain GeneralizationCode0
First-shot anomaly sound detection for machine condition monitoring: A domain generalization baselineCode1
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural NetworksCode1
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysCode0
Prompt-based Learning for Text Readability AssessmentCode0
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space0
Energy-Based Test Sample Adaptation for Domain GeneralizationCode1
Simple Disentanglement of Style and Content in Visual RepresentationsCode0
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization0
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization0
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing0
Robust Representation Learning with Self-Distillation for Domain Generalization0
Semantic Image Segmentation: Two Decades of Research0
Generalized Few-Shot Continual Learning with Contrastive Mixture of AdaptersCode1
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization0
Domain Generalization by Functional RegressionCode0
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection0
Improving Domain Generalization with Domain Relations0
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization0
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models0
Domain Generalization Emerges from Dreaming0
Free Lunch for Domain Adversarial Training: Environment Label SmoothingCode1
Domain-Generalizable Multiple-Domain ClusteringCode0
Fairness and Accuracy under Domain GeneralizationCode0
Adversarial Style Augmentation for Domain GeneralizationCode0
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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