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 101150 of 1751 papers

TitleStatusHype
DIVA: Domain Invariant Variational AutoencodersCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Adaptive High-Frequency Transformer for Diverse Wildlife Re-IdentificationCode1
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
Discovering environments with XRMCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
Aggregated Residual Transformations for Deep Neural NetworksCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization PerspectiveCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
3DLabelProp: Geometric-Driven Domain Generalization for LiDAR Semantic Segmentation in Autonomous DrivingCode1
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain GeneralizationCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
DGMamba: Domain Generalization via Generalized State Space ModelCode1
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen DomainsCode1
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency DomainCode1
Domain-Adversarial Training of Neural NetworksCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
A Closer Look at Few-shot ClassificationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
An Empirical Framework for Domain Generalization in Clinical SettingsCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Domain Generalization for Medical Imaging Classification with Linear-Dependency RegularizationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
An Information-theoretic Approach to Distribution ShiftsCode1
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual LearningCode1
A Fourier-based Framework for Domain GeneralizationCode1
AFN: Adaptive Fusion Normalization via an Encoder-Decoder FrameworkCode1
Making Convolutional Networks Shift-Invariant AgainCode1
AdvST: Revisiting Data Augmentations for Single Domain GeneralizationCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Selecting Data Augmentation for Simulating InterventionsCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
Adversarial Training for Free!Code1
A Universal Representation Transformer Layer for Few-Shot Image ClassificationCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
Augmenting Multi-Turn Text-to-SQL Datasets with Self-PlayCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
AugMix: A Simple Data Processing Method to Improve Robustness and UncertaintyCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
AutoGPart: Intermediate Supervision Search for Generalizable 3D Part SegmentationCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity RecognitionCode1
Deep CORAL: Correlation Alignment for Deep Domain AdaptationCode1
DART: Open-Domain Structured Data Record to Text GenerationCode1
A Broad Study of Pre-training for Domain Generalization and AdaptationCode1
Deeper, Broader and Artier Domain GeneralizationCode1
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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