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

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Showing 1501–1550 of 1751 papers

TitleStatusHype
A Rate-Distortion Approach to Domain Generalization—0
LASSO: Latent Sub-spaces Orientation for Domain Generalization—0
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation—0
Variational Disentanglement for Domain Generalization—0
Shape-Biased Domain Generalization via Shock Graph Embeddings—0
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image SegmentationCode0
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption—0
Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization—0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
Barycentric-alignment and reconstruction loss minimization for domain generalizationCode0
MitoDet: Simple and robust mitosis detection—0
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge—0
Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection—0
Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge—0
Domain-Robust Mitotic Figure Detection with Style Transfer—0
Towards Domain-Generalizable Paraphrase Identification by Avoiding the Shortcut Learning—0
Domain Adaptive Cascade R-CNN for MItosis DOmain Generalization (MIDOG) Challenge—0
Self-balanced Learning For Domain Generalization—0
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge—0
Discovering Spatial Relationships by Transformers for Domain Generalization—0
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization—0
0.8% Nyquist computational ghost imaging via non-experimental deep learning—0
Out-of-Domain Generalization from a Single Source: An Uncertainty Quantification Approach—0
Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing—0
Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation—0
Addressing materials' microstructure diversity using transfer learning—0
Adaptation and Generalization for Unknown Sensitive Factors of Variations—0
Improving the Generalization of Meta-learning on Unseen Domains via Adversarial Shift—0
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference—0
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation—0
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains—0
Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing—0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
Towards Unsupervised Domain Generalization—0
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains—0
Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningCode0
Learning an Explicit Hyperparameter Prediction Function Conditioned on TasksCode0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation—0
Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand SegmentationCode0
Generalizing Nucleus Recognition Model in Multi-source Images via Pruning—0
MixStyle Neural Networks for Domain Generalization and Adaptation—0
PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition—0
Dual Reweighting Domain Generalization for Face Presentation Attack Detection—0
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization—0
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification—0
Critically examining the Domain Generalizability of Facial Expression Recognition models—0
Person30K: A Dual-Meta Generalization Network for Person Re-Identification—0
Adversarial Invariant LearningCode0
Quality-Agnostic Image Recognition via Invertible DecoderCode0
Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections—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