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 1076–1100 of 1751 papers

TitleStatusHype
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization—0
Cross-Modal Concept Learning and Inference for Vision-Language Models—0
Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning—0
Cross-Task Pretraining for Cross-Organ Cross-Scanner Adenocarcinoma Segmentation—0
Dataset of Random Relaxations for Crystal Structure Search of Li-Si System—0
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing—0
DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization—0
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition—0
DaSeGAN: Domain Adaptation for Segmentation Tasks via Generative Adversarial Networks—0
Dealing with the Evil Twins: Improving Random Augmentation by Addressing Catastrophic Forgetting of Diverse Augmentations—0
DEBATE, TRAIN, EVOLVE: Self Evolution of Language Model Reasoning—0
DecAug: Augmenting HOI Detection via Decomposition—0
Decentralized Federated Domain Generalization with Style Sharing: A Formal Modeling and Convergence Analysis—0
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts—0
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization—0
Decoupled Prototype Learning for Reliable Test-Time Adaptation—0
Deep Domain-Adversarial Image Generation for Domain Generalisation—0
Deep Domain Generalization via Conditional Invariant Adversarial Networks—0
Deep Domain Generalization with Feature-norm Network—0
Deep Frequency Filtering for Domain Generalization—0
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives—0
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing—0
Depth-Sensitive Soft Suppression with RGB-D Inter-Modal Stylization Flow for Domain Generalization Semantic Segmentation—0
DEX: Domain Embedding Expansion for Generalized Person Re-identification—0
DGAR: A Unified Domain Generalization Framework for RF-Enabled Human Activity Recognition—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