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 11261150 of 1751 papers

TitleStatusHype
Joint covariate-alignment and concept-alignment: a framework for domain generalizationCode0
Benchmarking Azerbaijani Neural Machine Translation0
Towards Domain-agnostic Depth CompletionCode1
Depth Field Networks for Generalizable Multi-view Scene RepresentationCode2
Diversity Boosted Learning for Domain Generalization with Large Number of Domains0
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
Domain-invariant Feature Exploration for Domain Generalization0
Self-Distilled Vision Transformer for Domain GeneralizationCode0
Domain Decorrelation with Potential Energy RankingCode1
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision TransformerCode1
Domain Generalization for Activity Recognition via Adaptive Feature Fusion0
Grounding Visual Representations with Texts for Domain GeneralizationCode1
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing0
Probable Domain Generalization via Quantile Risk MinimizationCode1
Measuring and signing fairness as performance under multiple stakeholder distributions0
Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery TicketsCode0
Tackling Long-Tailed Category Distribution Under Domain ShiftsCode1
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and CountingCode1
Improving Domain Generalization by Learning without Forgetting: Application in Retail CheckoutCode0
Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge0
Adversarial Style Augmentation for Domain Generalized Urban-Scene SegmentationCode0
Test-Time Adaptation via Self-Training with Nearest Neighbor InformationCode1
Style Interleaved Learning for Generalizable Person Re-identificationCode0
Predicting Out-of-Domain Generalization with Neighborhood Invariance0
Temporal Generalization for Spoken Language Understanding0
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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