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 15261550 of 1751 papers

TitleStatusHype
Rethinking Domain Generalization Baselines0
Magnification Generalization for Histopathology Image EmbeddingCode0
Style Normalization and Restitution for Domain Generalization and AdaptationCode1
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions0
A Simple Feature Augmentation for Domain Generalization0
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation0
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification0
Domain-Invariant Disentangled Network for Generalizable Object Detection0
Variational Invariant Learning for Bayesian Domain Generalization0
Domain-Free Adversarial Splitting for Domain Generalization0
Invariant Batch Normalization for Multi-source Domain Generalization0
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains0
Uncertain Out-of-Domain Generalization0
MASKER: Masked Keyword Regularization for Reliable Text ClassificationCode1
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic AugmentationCode1
Towards Recognizing New Semantic Concepts in New Visual DomainsCode1
TARA: Training and Representation Alteration for AI Fairness and Domain Generalization0
Dataset of Random Relaxations for Crystal Structure Search of Li-Si System0
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-IdentificationCode1
Domain Generalization via Entropy RegularizationCode1
Meta Batch-Instance Normalization for Generalizable Person Re-IdentificationCode1
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing0
Batch Normalization Embeddings for Deep Domain Generalization0
Multi-Domain Adversarial Feature Generalization for Person Re-Identification0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection0
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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