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 351400 of 1751 papers

TitleStatusHype
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic SegmentationCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution GeneralizationCode1
Efficient and Effective Augmentation Strategy for Adversarial TrainingCode1
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense EncodersCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language UnderstandingCode1
iDAG: Invariant DAG Searching for Domain GeneralizationCode1
Improving Generalization in Federated Learning by Seeking Flat MinimaCode1
Efficient Domain Generalization via Common-Specific Low-Rank DecompositionCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Grounding Visual Representations with Texts for Domain GeneralizationCode1
Group-wise Inhibition based Feature Regularization for Robust ClassificationCode1
Deeper, Broader and Artier Domain GeneralizationCode1
Energy-Based Test Sample Adaptation for Domain GeneralizationCode1
Domain Decorrelation with Potential Energy RankingCode1
Deep Learning for Face Anti-Spoofing: A SurveyCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative TrainingCode1
Gradient Matching for Domain GeneralizationCode1
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic SegmentationCode1
Collaborating Foundation Models for Domain Generalized Semantic SegmentationCode1
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage ClassificationCode1
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and BeyondCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain GeneralizationCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
Distribution Shift Inversion for Out-of-Distribution PredictionCode1
Adversarial Training for Free!Code1
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingCode1
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion RecognitionCode1
A2XP: Towards Private Domain GeneralizationCode1
DIVA: Domain Invariant Variational AutoencodersCode1
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detectionCode1
AdvST: Revisiting Data Augmentations for Single Domain GeneralizationCode1
Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based TechniquesCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic RetinopathyCode1
AFN: Adaptive Fusion Normalization via an Encoder-Decoder FrameworkCode1
Face Presentation Attack Detection by Excavating Causal Clues and Adapting Embedding StatisticsCode1
DGMamba: Domain Generalization via Generalized State Space ModelCode1
On Feature Normalization and Data AugmentationCode1
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object DetectionCode1
Disentangling Masked Autoencoders for Unsupervised Domain GeneralizationCode1
Disentangled Feature Representation for Few-shot Image ClassificationCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIPCode1
CLIP the Gap: A Single Domain Generalization Approach for Object DetectionCode1
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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