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 151200 of 1751 papers

TitleStatusHype
Domain Generalization via Entropy RegularizationCode1
Distribution Shift Inversion for Out-of-Distribution PredictionCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
DIVA: Domain Invariant Variational AutoencodersCode1
Disentangling Masked Autoencoders for Unsupervised Domain GeneralizationCode1
Disentangled Feature Representation for Few-shot Image ClassificationCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual LearningCode1
Attention Diversification for Domain GeneralizationCode1
Discovering environments with XRMCode1
Attention Consistency on Visual Corruptions for Single-Source Domain GeneralizationCode1
DGMamba: Domain Generalization via Generalized State Space ModelCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Augmenting Multi-Turn Text-to-SQL Datasets with Self-PlayCode1
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
A Broad Study of Pre-training for Domain Generalization and AdaptationCode1
A Universal Representation Transformer Layer for Few-Shot Image ClassificationCode1
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain DatasetsCode1
A Bit More Bayesian: Domain-Invariant Learning with UncertaintyCode1
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part SegmentationCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense EncodersCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate DomainsCode1
DomainDrop: Suppressing Domain-Sensitive Channels for Domain GeneralizationCode1
Domain Generalization via Gradient SurgeryCode1
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive LearningCode1
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image SegmentationCode1
Domain Generalization for Object Recognition with Multi-task AutoencodersCode1
Calibrated Feature Decomposition for Generalizable Person Re-IdentificationCode1
Domain Generalization for Vision-based Driving Trajectory GenerationCode1
Adversarial Training for Free!Code1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
Benchmarking Algorithms for Federated Domain GeneralizationCode1
AdvST: Revisiting Data Augmentations for Single Domain GeneralizationCode1
Making Convolutional Networks Shift-Invariant AgainCode1
Benchmarking Distribution Shift in Tabular Data with TableShiftCode1
AFN: Adaptive Fusion Normalization via an Encoder-Decoder FrameworkCode1
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationCode1
A Fourier-based Framework for Domain GeneralizationCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
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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