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
Diffusion Features to Bridge Domain Gap for Semantic SegmentationCode1
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity RecognitionCode1
Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain GeneralizationCode1
Intra-Source Style Augmentation for Improved Domain GeneralizationCode1
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
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching NetworksCode1
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision TransformerCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
VLLaVO: Mitigating Visual Gap through LLMsCode1
Deep CORAL: Correlation Alignment for Deep Domain AdaptationCode1
Adapting to Distribution Shift by Visual Domain Prompt GenerationCode1
Diversify Your Vision Datasets with Automatic Diffusion-Based AugmentationCode1
Learning Domain Invariant Representations in Goal-conditioned Block MDPsCode1
Deeper, Broader and Artier Domain GeneralizationCode1
Learning Invariant Representations with a Nonparametric Nadaraya-Watson HeadCode1
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingCode1
A2XP: Towards Private Domain GeneralizationCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
Learning to Generalize across Domains on Single Test SamplesCode1
Domain-Unified Prompt Representations for Source-Free Domain GeneralizationCode1
EPVT: Environment-aware Prompt Vision Transformer for Domain Generalization in Skin Lesion RecognitionCode1
Domain Generalizer: A Few-shot Meta Learning Framework for Domain Generalization in Medical ImagingCode1
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
Domain Invariant Representation Learning with Domain Density TransformationsCode1
Deep Stable Learning for Out-Of-Distribution GeneralizationCode1
Leveraging SAM for Single-Source Domain Generalization in Medical Image SegmentationCode1
DEJA VU: Continual Model Generalization For Unseen DomainsCode1
Domain Generalization via Rationale InvarianceCode1
Adversarial Training for Free!Code1
Domain Generalization via Gradient SurgeryCode1
Domain Generalization via Shuffled Style Assembly for Face Anti-SpoofingCode1
DomainLab: A modular Python package for domain generalization in deep learningCode1
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
AdvST: Revisiting Data Augmentations for Single Domain GeneralizationCode1
Selecting Data Augmentation for Simulating InterventionsCode1
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Benchmarking Distribution Shift in Tabular Data with TableShiftCode1
Measuring Robustness to Natural Distribution Shifts in Image ClassificationCode1
AFN: Adaptive Fusion Normalization via an Encoder-Decoder FrameworkCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
DGMamba: Domain Generalization via Generalized State Space ModelCode1
Domain Generalization Using Large Pretrained Models with Mixture-of-AdaptersCode1
AP-10K: A Benchmark for Animal Pose Estimation in the WildCode1
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain GeneralizationCode1
Domain Generalization via Entropy RegularizationCode1
mixup: Beyond Empirical Risk MinimizationCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
Domain-Specific Bias Filtering for Single Labeled 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