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 16511700 of 1751 papers

TitleStatusHype
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Domain Generalization Using a Mixture of Multiple Latent DomainsCode0
Generalizing to unseen domains via distribution matchingCode0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data ScarcityCode0
Reducing Domain Gap by Reducing Style BiasCode0
Domain-agnostic Question-Answering with Adversarial TrainingCode0
Improve Model Generalization and Robustness to Dataset Bias with Bias-regularized Learning and Domain-guided Augmentation0
A Theory of Relation Learning and Cross-domain Generalization0
Learning to Generalize One Sample at a Time with Self-Supervision0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning0
Attention Bridging Network for Knowledge Transfer0
Robust Semantic Parsing with Adversarial Learning for Domain Generalization0
RandAugment: Practical automated data augmentation with a reduced search spaceCode2
Stablizing Adversarial Invariance Induction by Discriminator Matching0
EEG-Based Driver Drowsiness Estimation Using Feature Weighted Episodic Training0
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization0
Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data0
Domain Generalization via Multidomain Discriminant Analysis0
Universal Person Re-Identification0
Natural Adversarial ExamplesCode1
Cross-Domain Generalization of Neural Constituency ParsersCode0
Learning to Optimize Domain Specific Normalization for Domain Generalization0
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control0
Invariant Risk MinimizationCode1
Tackling Partial Domain Adaptation with Self-Supervision0
Variational Resampling Based Assessment of Deep Neural Networks under Distribution ShiftCode0
When Unseen Domain Generalization is Unnecessary? Rethinking Data AugmentationCode0
AutoAugment: Learning Augmentation Strategies From DataCode0
Domain Generalization by Solving Jigsaw PuzzlesCode0
Generalizable Person Re-Identification by Domain-Invariant Mapping Network0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation0
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack DetectionCode0
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
Domain Generalization via Universal Non-volume Preserving Models0
A Cross-Domain Transferable Neural Coherence ModelCode0
EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksCode3
DIVA: Domain Invariant Variational AutoencodersCode1
A Generalization Error Bound for Multi-class Domain Generalization0
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization0
Adversarial Training for Free!Code1
Making Convolutional Networks Shift-Invariant AgainCode1
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting0
Predicting human decisions with behavioral theories and machine learning0
A Closer Look at Few-shot ClassificationCode1
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View DepthCode0
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)0
Benchmarking Neural Network Robustness to Common Corruptions and PerturbationsCode2
DIVA: Domain Invariant Variational Autoencoder0
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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