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 16011650 of 1751 papers

TitleStatusHype
Measuring Robustness to Natural Distribution Shifts in Image ClassificationCode1
Improving robustness against common corruptions by covariate shift adaptationCode1
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution GeneralizationCode1
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-IdentificationCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo MatchingCode1
Feature Alignment and Restoration for Domain Generalization and Adaptation0
A Universal Representation Transformer Layer for Few-Shot Image ClassificationCode1
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations0
Frustratingly Simple Domain Generalization via Image StylizationCode1
Domain Generalization using Causal MatchingCode1
Enforcing Predictive Invariance across Structured Biomedical Domains0
Analyse s\'emantique robuste par apprentissage antagoniste pour la g\'en\'eralisation de domaine (Robust Semantic Parsing with Adversarial Learning for Domain Generalization )0
Novel Human-Object Interaction Detection via Adversarial Domain Generalization0
Style Normalization and Restitution for Generalizable Person Re-identificationCode1
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case StudyCode0
Selecting Data Augmentation for Simulating InterventionsCode1
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition0
Improving Semantic Segmentation via Self-Training0
Single-Side Domain Generalization for Face Anti-SpoofingCode1
Addressing Artificial Intelligence Bias in Retinal Disease Diagnostics0
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection SegmentationCode1
On the interplay between physical and content priors in deep learning for computational imaging0
WQT and DG-YOLO: towards domain generalization in underwater object detection0
Regularizing Meta-Learning via Gradient DropoutCode1
Test-Time Adaptable Neural Networks for Robust Medical Image SegmentationCode1
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese NetworksCode0
Sequential Learning for Domain Generalization0
Learning to Learn Single Domain GeneralizationCode0
Improving out-of-distribution generalization via multi-task self-supervised pretraining0
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
Generalizable Model-agnostic Semantic Segmentation via Target-specific NormalizationCode1
Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric LearningCode2
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data0
Domain Adaptive Ensemble Learning0
Explainable Deep Classification Models for Domain Generalization0
Deep Domain-Adversarial Image Generation for Domain Generalisation0
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the WildCode1
Out-of-Distribution Generalization via Risk Extrapolation (REx)Code1
On Feature Normalization and Data AugmentationCode1
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization0
On the limits of cross-domain generalization in automated X-ray predictionCode2
Cross-Domain Few-Shot Classification via Learned Feature-Wise TransformationCode1
Improve Unsupervised Domain Adaptation with Mixup Training0
VideoDG: Generalizing Temporal Relations in Videos to Novel DomainsCode0
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
Angular Visual Hardness0
Correlation-aware Adversarial Domain Adaptation and Generalization0
Regularized Fine-grained Meta Face Anti-spoofingCode0
Adversarial Examples Improve Image RecognitionCode0
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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