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 1051–1100 of 1751 papers

TitleStatusHype
Constrained Maximum Cross-Domain Likelihood for Domain Generalization—0
Context is Environment—0
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights—0
Context-Aware Robust Fine-Tuning—0
Context-Aware Self-Adaptation for Domain Generalization—0
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains—0
Continuous Domain Generalization—0
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms—0
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification—0
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation—0
Contrastive Regression for Domain Adaptation on Gaze Estimation—0
Contrastive Weighted Learning for Near-Infrared Gaze Estimation—0
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology—0
ConvNLP: Image-based AI Text Detection—0
COPA: Comparing the Incomparable to Explore the Pareto Front—0
Correlation-aware Adversarial Domain Adaptation and Generalization—0
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation—0
CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels—0
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization—0
Cross Domain Ensemble Distillation for Domain Generalization—0
Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data—0
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection—0
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models—0
Cross-domain Transfer of defect features in technical domains based on partial target data—0
Crossing the Gap: Domain Generalization for Image Captioning—0
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