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 251300 of 1751 papers

TitleStatusHype
ERM++: An Improved Baseline for Domain GeneralizationCode1
TFS-ViT: Token-Level Feature Stylization for Domain GeneralizationCode1
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste SortingCode1
Rethinking Domain Generalization for Face Anti-spoofing: Separability and AlignmentCode1
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain GeneralizationCode1
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
Sharpness-Aware Gradient Matching for Domain GeneralizationCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
Neuron Structure Modeling for Generalizable Remote Physiological MeasurementCode1
SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic DataCode1
First-shot anomaly sound detection for machine condition monitoring: A domain generalization baselineCode1
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural NetworksCode1
Energy-Based Test Sample Adaptation for Domain GeneralizationCode1
Generalized Few-Shot Continual Learning with Contrastive Mixture of AdaptersCode1
Free Lunch for Domain Adversarial Training: Environment Label SmoothingCode1
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object DetectionCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
ManyDG: Many-domain Generalization for Healthcare ApplicationsCode1
Modeling Uncertain Feature Representation for Domain GeneralizationCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
Single Domain Generalization for LiDAR Semantic SegmentationCode1
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning ParadigmCode1
Environment Agnostic Representation for Visual Reinforcement LearningCode1
iDAG: Invariant DAG Searching for Domain GeneralizationCode1
Federated Domain Generalization With Generalization AdjustmentCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain GeneralizationCode1
Domain Generalization by Learning and Removing Domain-specific FeaturesCode1
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies OthersCode1
Learning Domain Invariant Prompt for Vision-Language ModelsCode1
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point CloudCode1
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal ShiftCode1
Domain-General Crowd Counting in Unseen ScenariosCode1
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain GeneralizationCode1
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual ReasoningCode1
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over TimeCode1
Cross-Domain Ensemble Distillation for Domain GeneralizationCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative TrainingCode1
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable PartsCode1
Learning Causal Representations of Single Cells via Sparse Mechanism Shift ModelingCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Cross-domain Generalization for AMR ParsingCode1
Augmenting Multi-Turn Text-to-SQL Datasets with Self-PlayCode1
Intra-Source Style Augmentation for Improved 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