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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1651–1700 of 1751 papers

TitleStatusHype
Single Domain Dynamic Generalization for Iris Presentation Attack Detection—0
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary—0
Single Domain Generalization via Normalised Cross-correlation Based Convolutions—0
Single Domain Generalization with Adversarial Memory—0
Single Domain Generalization with Model-aware Parametric Batch-wise Mixup—0
Single-Domain Generalized Object Detection by Balancing Domain Diversity and Invariance—0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification—0
Single-temporal Supervised Remote Change Detection for Domain Generalization—0
SLYKLatent: A Learning Framework for Gaze Estimation Using Deep Facial Feature Learning—0
Soft Segmented Randomization: Enhancing Domain Generalization in SAR-ATR for Synthetic-to-Measured—0
SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning—0
Source data selection for out-of-domain generalization—0
StableFDG: Style and Attention Based Learning for Federated Domain Generalization—0
Stablizing Adversarial Invariance Induction by Discriminator Matching—0
Mitosis Detection, Fast and Slow: Robust and Efficient Detection of Mitotic Figures—0
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge—0
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization—0
Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring—0
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains—0
Style-Guided Domain Adaptation for Face Presentation Attack Detection—0
Style Neophile: Constantly Seeking Novel Styles for Domain Generalization—0
StylePrompter: Enhancing Domain Generalization with Test-Time Style Priors—0
Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models—0
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization—0
A Survey of Supernet Optimization and its Applications: Spatial and Temporal Optimization for Neural Architecture Search—0
Supervised Contrastive Block Disentanglement—0
Supervised Contrastive Learning with Heterogeneous Similarity for Distribution Shifts—0
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt—0
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis—0
Swin Transformer for Robust CGI Images Detection: Intra- and Inter-Dataset Analysis across Multiple Color Spaces—0
Swin Transformer for Robust Differentiation of Real and Synthetic Images: Intra- and Inter-Dataset Analysis—0
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification—0
Syn2Real Domain Generalization for Underwater Mine-like Object Detection Using Side-Scan Sonar—0
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds—0
SyntStereo2Real: Edge-Aware GAN for Remote Sensing Image-to-Image Translation while Maintaining Stereo Constraint—0
Tackling domain generalization for out-of-distribution endoscopic imaging—0
Tackling Partial Domain Adaptation with Self-Supervision—0
TADA: Temporal Adversarial Data Augmentation for Time Series Data—0
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification—0
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations—0
TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification—0
Task-aware Adaptive Learning for Cross-domain Few-shot Learning—0
TDG: Text-guided Domain Generalization—0
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models—0
TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing—0
Template-based Multi-Domain Face Recognition—0
Temporal Generalization for Spoken Language Understanding—0
Temporal Representation Learning for Stock Similarities and Its Applications in Investment Management—0
Test-time Batch Normalization—0
Test-time Batch Statistics Calibration for Covariate Shift—0
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All datasetsPACSVizWiz-ClassificationImageNet-COffice-HomeImageNet-AImageNet-RDomainNetVLCSTerraIncognitaGTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-SketchGTA5 to Cityscapes

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SIMPLE+Average Accuracy99—Unverified
2PromptStyler (CLIP, ViT-L/14)Average Accuracy98.6—Unverified
3GMDG (RegNetY-16GF, SWAD)Average Accuracy97.9—Unverified
4D-Triplet(RegNetY-16GF)Average Accuracy97.6—Unverified
5MoA (OpenCLIP, ViT-B/16)Average Accuracy97.4—Unverified
6GMDG (e RegNetY-16GF)Average Accuracy97.3—Unverified
7PromptStyler (CLIP, ViT-B/16)Average Accuracy97.2—Unverified
8SPG (CLIP, ViT-B/16)Average Accuracy97—Unverified
9CAR-FT (CLIP, ViT-B/16)Average Accuracy96.8—Unverified
10MIRO (RegNetY-16GF, SWAD)Average Accuracy96.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ViT-8/B-224Accuracy - Clean Images450—Unverified
2VOLO-D5Accuracy - All Images57.2—Unverified
3ConvNeXt-BAccuracy - All Images53.5—Unverified
4ResNeXt-101 32x16dAccuracy - All Images51.7—Unverified
5EfficientNet-B8 (advprop+autoaug)Accuracy - All Images50.5—Unverified
6EfficientNet-B7 (advprop+autoaug)Accuracy - All Images49.7—Unverified
7EfficientNet-B6 (advprop+autoaug)Accuracy - All Images49.6—Unverified
8EfficientNet-B5 (advprop+autoaug)Accuracy - All Images49.1—Unverified
9ViT-16/L-224Accuracy - All Images49—Unverified
10ResNet-50 (gn)Accuracy - All Images48.9—Unverified