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 626650 of 1751 papers

TitleStatusHype
Compound Text-Guided Prompt Tuning via Image-Adaptive CuesCode1
Benchmarking Distribution Shift in Tabular Data with TableShiftCode1
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models0
Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features0
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic SegmentationCode2
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control0
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images0
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic SegmentationCode1
Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer LearningCode1
TeG-DG: Textually Guided Domain Generalization for Face Anti-Spoofing0
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature PerturbationCode0
TransNeXt: Robust Foveal Visual Perception for Vision TransformersCode2
Rescuing referral failures during automated diagnosis of domain-shifted medical images0
Towards Full-scene Domain Generalization in Multi-agent Collaborative Bird's Eye View Segmentation for Connected and Autonomous DrivingCode0
HD Maps are Lane Detection Generalizers: A Novel Generative Framework for Single-Source Domain Generalization0
MetaDefa: Meta-learning based on Domain Enhancement and Feature Alignment for Single Domain Generalization0
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain GeneralizationCode0
Introducing 3DCNN ResNets for ASD full-body kinematic assessment: a comparison with hand-crafted features0
Robust Domain Misinformation Detection via Multi-modal Feature AlignmentCode1
Parameter Exchange for Robust Dynamic Domain GeneralizationCode1
Algorithmic Fairness Generalization under Covariate and Dependence Shifts SimultaneouslyCode0
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot LearningCode0
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images0
Domain Generalization of 3D Object Detection by Density-ResamplingCode0
A2XP: Towards Private Domain GeneralizationCode1
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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