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 1351–1375 of 1751 papers

TitleStatusHype
Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective—0
Towards Generalizable Person Re-identification with a Bi-stream Generative Model—0
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning—0
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring—0
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution—0
Towards Radar Emitter Recognition in Changing Environments with Domain Generalization—0
Towards Reliable Domain Generalization: A New Dataset and Evaluations—0
Towards Robust and Fair Vision Learning in Open-World Environments—0
Towards Robust Domain Generalization in 2D Neural Audio Processing—0
Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning—0
Towards Shape Biased Unsupervised Representation Learning for Domain Generalization—0
Towards Unsupervised Domain Generalization for Face Anti-Spoofing—0
Training Deep Neural Networks for Wireless Sensor Networks Using Loosely and Weakly Labeled Images—0
Transferability of Neural Network Clinical De-identification Systems—0
Transitive Vision-Language Prompt Learning for Domain Generalization—0
Trends and Challenges in Authorship Analysis: A Review of ML, DL, and LLM Approaches—0
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features—0
Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training—0
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data—0
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners—0
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection—0
Uncertain Out-of-Domain Generalization—0
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing—0
Uncertainty-guided Model Generalization to Unseen Domains—0
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains—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