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 301350 of 1751 papers

TitleStatusHype
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base PopulationCode1
Unified Vision and Language Prompt LearningCode1
M2D2: A Massively Multi-domain Language Modeling DatasetCode1
Attention Diversification for Domain GeneralizationCode1
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-ExpertsCode1
Federated Domain Generalization for Image Recognition via Cross-Client Style TransferCode1
Domain-Unified Prompt Representations for Source-Free Domain GeneralizationCode1
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center StudyCode1
Prompt Vision Transformer for Domain GeneralizationCode1
Domain-Specific Risk Minimization for Out-of-Distribution GeneralizationCode1
Semantic Self-adaptation: Enhancing Generalization with a Single SampleCode1
Towards Domain-agnostic Depth CompletionCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision TransformerCode1
Domain Decorrelation with Potential Energy RankingCode1
Grounding Visual Representations with Texts for Domain GeneralizationCode1
Tackling Long-Tailed Category Distribution Under Domain ShiftsCode1
Probable Domain Generalization via Quantile Risk MinimizationCode1
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and CountingCode1
Test-Time Adaptation via Self-Training with Nearest Neighbor InformationCode1
Learning with Weak Annotations for Robust Maritime Obstacle DetectionCode1
Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive LearningCode1
Mitigating Data Heterogeneity in Federated Learning with Data AugmentationCode1
Learning Fair Representation via Distributional Contrastive DisentanglementCode1
Improving Diversity with Adversarially Learned Transformations for Domain GeneralizationCode1
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization TechniquesCode1
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingCode1
Toward Real-world Single Image Deraining: A New Benchmark and BeyondCode1
Causal Balancing for Domain GeneralizationCode1
Sparse Mixture-of-Experts are Domain Generalizable LearnersCode1
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization TaskCode1
Dynamic Domain GeneralizationCode1
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias ReductionCode1
Temporal Domain Generalization with Drift-Aware Dynamic Neural NetworksCode1
Test-time Fourier Style Calibration for Domain GeneralizationCode1
Localized Adversarial Domain GeneralizationCode1
Attention Consistency on Visual Corruptions for Single-Source Domain GeneralizationCode1
Improving the Generalizability of Depression Detection by Leveraging Clinical QuestionnairesCode1
NICO++: Towards Better Benchmarking for Domain GeneralizationCode1
Pin the Memory: Learning to Generalize Semantic SegmentationCode1
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic SegmentationCode1
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization PerspectiveCode1
WildNet: Learning Domain Generalized Semantic Segmentation from the WildCode1
Improving Vision Transformers by Revisiting High-frequency ComponentsCode1
Semantic-Aware Domain Generalized SegmentationCode1
Rethinking Portrait Matting with Privacy PreservingCode1
Causality Inspired Representation Learning for 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