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 926–950 of 1751 papers

TitleStatusHype
Towards Label-Efficient Human Matting: A Simple Baseline for Weakly Semi-Supervised Trimap-Free Human MattingCode0
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models—0
Domain Generalizable Person Search Using Unreal Dataset—0
Test-Time Domain Generalization for Face Anti-Spoofing—0
Multi-channel Time Series Decomposition Network For Generalizable Sensor-Based Activity Recognition—0
Dual Instruction Tuning with Large Language Models for Mathematical Reasoning—0
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic—0
EAGLE: A Domain Generalization Framework for AI-generated Text Detection—0
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus ImagesCode0
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization—0
CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing—0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
A Systematic Review of Generalization Research in Medical Image Classification—0
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction—0
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions—0
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification—0
ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain GeneralizationCode0
A Causal Inspired Early-Branching Structure for Domain GeneralizationCode0
Unknown Domain Inconsistency Minimization for Domain GeneralizationCode0
On the Consideration of AI Openness: Can Good Intent Be Abused?—0
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning—0
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior KnowledgeCode0
Interpreting What Typical Fault Signals Look Like via Prototype-matching—0
A Study on Domain Generalization for Failure Detection through Human Reactions in HRICode0
Domain Adversarial Active Learning for Domain Generalization Classification—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