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 201250 of 1751 papers

TitleStatusHype
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Aggregated Residual Transformations for Deep Neural NetworksCode1
Adaptive High-Frequency Transformer for Diverse Wildlife Re-IdentificationCode1
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion RecognitionCode1
Beyond Model Adaptation at Test Time: A SurveyCode1
Beyond Normal: On the Evaluation of Mutual Information EstimatorsCode1
Adaptive Methods for Aggregated Domain GeneralizationCode1
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center StudyCode1
Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic SegmentationCode1
BioBridge: Bridging Biomedical Foundation Models via Knowledge GraphsCode1
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding StatisticsCode1
Dynamic Domain GeneralizationCode1
Feature Stylization and Domain-aware Contrastive Learning for Domain GeneralizationCode1
Boosting Domain Generalized and Adaptive Detection with Diffusion Models: Fitness, Generalization, and TransferabilityCode1
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip DesignCode1
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous DrivingCode1
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning ParadigmCode1
Federated Domain Generalization With Generalization AdjustmentCode1
Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization PerspectiveCode1
Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain DatasetsCode1
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
FETA: Towards Specializing Foundation Models for Expert Task ApplicationsCode1
Discovering environments with XRMCode1
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate DomainsCode1
AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationCode1
ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain GeneralizationCode1
Adaptive Risk Minimization: Learning to Adapt to Domain ShiftCode1
Calibrated Feature Decomposition for Generalizable Person Re-IdentificationCode1
FSDR: Frequency Space Domain Randomization for Domain GeneralizationCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningCode1
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency DomainCode1
Generalizable Sleep Staging via Multi-Level Domain AlignmentCode1
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual LearningCode1
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
Causal Balancing for Domain GeneralizationCode1
AAPL: Adding Attributes to Prompt Learning for Vision-Language ModelsCode1
Global Filter Networks for Image ClassificationCode1
DGMamba: Domain Generalization via Generalized State Space ModelCode1
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object DetectionCode1
Causality Inspired Representation Learning for Domain GeneralizationCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
Which Invariance Should We Transfer? A Causal Minimax Learning ApproachCode1
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
Disentangled Feature Representation for Few-shot Image ClassificationCode1
UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation PipelineCode1
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic SegmentationCode1
Description and Discussion on DCASE 2022 Challenge Task 2: Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization TechniquesCode1
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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