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

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Showing 1001–1050 of 1751 papers

TitleStatusHype
Domain generalization of 3D semantic segmentation in autonomous drivingCode1
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based RetrievalCode0
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point CloudCode1
Domain Generalization Strategy to Train Classifiers Robust to Spatial-Temporal ShiftCode1
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion—0
Domain-General Crowd Counting in Unseen ScenariosCode1
Domain Adaptation and Generalization on Functional Medical Images: A Systematic Survey—0
Generalizing Multiple Object Tracking to Unseen Domains by Introducing Natural Language Representation—0
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning—0
Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning—0
PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain GeneralizationCode1
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual ReasoningCode1
When Neural Networks Fail to Generalize? A Model Sensitivity PerspectiveCode0
Context-Aware Robust Fine-Tuning—0
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
Domain Generalization for Robust Model-Based Offline Reinforcement Learning—0
Direct-Effect Risk Minimization for Domain GeneralizationCode0
Domain generalization in fetal brain MRI segmentation \ multi-reconstruction augmentation—0
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over TimeCode1
Cross-Domain Ensemble Distillation for Domain GeneralizationCode1
Cross-domain Transfer of defect features in technical domains based on partial target data—0
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative TrainingCode1
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models—0
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training DataCode0
HMOE: Hypernetwork-based Mixture of Experts for Domain Generalization—0
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning—0
Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning—0
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning—0
DocuT5: Seq2seq SQL Generation with Table Documentation—0
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable PartsCode1
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts—0
FIXED: Frustratingly Easy Domain Generalization with Mixup—0
Generalizable Re-Identification from Videos with Cycle Association—0
Learning Causal Representations of Single Cells via Sparse Mechanism Shift ModelingCode1
Using Set Covering to Generate Databases for Holistic SteganalysisCode0
Contrastive Weighted Learning for Near-Infrared Gaze Estimation—0
Learning to Learn Domain-invariant Parameters for Domain Generalization—0
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling GeneralizationCode2
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study—0
Deep Multimodal Fusion for Generalizable Person Re-identificationCode0
Two-stage LLM Fine-tuning with Less Specialization and More Generalization—0
SAGE: Saliency-Guided Mixup with Optimal Rearrangements—0
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation—0
Domain Generalization through the Lens of Angular InvarianceCode0
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision—0
Trade-off between reconstruction loss and feature alignment for domain generalizationCode0
SimpleDG: Simple Domain Generalization Baseline without Bells and WhistlesCode0
OpenStance: Real-world Zero-shot Stance DetectionCode0
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All datasetsPACSVizWiz-ClassificationImageNet-COffice-HomeImageNet-AImageNet-RDomainNetVLCSTerraIncognitaGTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-SketchGTA5 to Cityscapes

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99—Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6—Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9—Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6—Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4—Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3—Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2—Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97—Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8—Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450—Unverified
2VOLO-D5Accuracy - All Images57.2—Unverified
3ConvNeXt-BAccuracy - All Images53.5—Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7—Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5—Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7—Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6—Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1—Unverified
9ViT-16/L-224Accuracy - All Images49—Unverified
10ResNet-50 (gn)Accuracy - All Images48.9—Unverified