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 401450 of 1751 papers

TitleStatusHype
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofingCode1
FSDR: Frequency Space Domain Randomization for Domain GeneralizationCode1
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual LearningCode1
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIPCode1
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
Aggregated Residual Transformations for Deep Neural NetworksCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
Adaptive High-Frequency Transformer for Diverse Wildlife Re-IdentificationCode1
Frequency-mixed Single-source Domain Generalization for Medical Image SegmentationCode1
PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image MatchingCode1
Beyond Model Adaptation at Test Time: A SurveyCode1
Frustratingly Simple Domain Generalization via Image StylizationCode1
Discovering environments with XRMCode1
Beyond Normal: On the Evaluation of Mutual Information EstimatorsCode1
DomainDrop: Suppressing Domain-Sensitive Channels for Domain GeneralizationCode1
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable PartsCode1
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
Generalizable Sleep Staging via Multi-Level Domain AlignmentCode1
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningCode1
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent AlignmentCode1
BioBridge: Bridging Biomedical Foundation Models via Knowledge GraphsCode1
Generalizable Model-agnostic Semantic Segmentation via Target-specific NormalizationCode1
Domain Generalization by Mutual-Information Regularization with Pre-trained ModelsCode1
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic SegmentationCode1
InterNet: Unsupervised Cross-modal Homography Estimation Based on Interleaved Modality Transfer and Self-supervised Homography PredictionCode1
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized DetectionCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Improving Single Domain-Generalized Object Detection: A Focus on Diversification and AlignmentCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
Improving the Generalizability of Depression Detection by Leveraging Clinical QuestionnairesCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case GeneralizationCode1
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain GeneralizationCode1
Distribution Shift Inversion for Out-of-Distribution PredictionCode1
DIVA: Domain Invariant Variational AutoencodersCode1
Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning ParadigmCode1
Adaptive Multi-Modal Cross-Entropy Loss for Stereo MatchingCode1
Generalize then Adapt: Source-Free Domain Adaptive Semantic SegmentationCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
Improving robustness against common corruptions by covariate shift adaptationCode1
Improving the Transferability of Adversarial Examples with Arbitrary Style TransferCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Global Filter Networks for Image ClassificationCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object DetectionCode1
Towards Robust Vision TransformerCode1
Domain Decorrelation with Potential Energy RankingCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
Bridging the Source-to-target Gap for Cross-domain Person Re-Identification with Intermediate DomainsCode1
Learning Robust Global Representations by Penalizing Local Predictive PowerCode1
Show:102550
← PrevPage 9 of 36Next →

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