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 851–900 of 1751 papers

TitleStatusHype
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation EditsCode0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
When Neural Networks Fail to Generalize? A Model Sensitivity PerspectiveCode0
When Unseen Domain Generalization is Unnecessary? Rethinking Data AugmentationCode0
When Vision Transformers Outperform ResNets without Pre-training or Strong Data AugmentationsCode0
WiFlexFormer: Efficient WiFi-Based Person-Centric SensingCode0
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to ImproveCode0
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in ClassificationCode0
Zero Shot Domain GeneralizationCode0
Improving Domain Generalization by Learning without Forgetting: Application in Retail CheckoutCode0
Universal Medical Imaging Model for Domain Generalization with Data Privacy—0
Universal Person Re-Identification—0
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey—0
Unsupervised Prototype Adapter for Vision-Language Models—0
Unsupervised Time-Series Signal Analysis with Autoencoders and Vision Transformers: A Review of Architectures and Applications—0
Unsupervised Visual Attention and Invariance for Reinforcement Learning—0
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint—0
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic—0
Using Tweets to Help Sentence Compression for News Highlights Generation—0
V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception—0
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions—0
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations—0
Variational Disentanglement for Domain Generalization—0
Variational Invariant Learning for Bayesian Domain Generalization—0
Vision and Language Integration for Domain Generalization—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—0
Vision transformers in domain adaptation and domain generalization: a study of robustness—0
Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
VQA-GEN: A Visual Question Answering Benchmark for Domain Generalization—0
VUDG: A Dataset for Video Understanding Domain Generalization—0
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation—0
When and How Does CLIP Enable Domain and Compositional Generalization?—0
When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach—0
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers—0
Why Domain Generalization Fail? A View of Necessity and Sufficiency—0
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization—0
WQT and DG-YOLO: towards domain generalization in underwater object detection—0
Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging—0
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study—0
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization—0
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization—0
0.8% Nyquist computational ghost imaging via non-experimental deep learning—0
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design—0
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning—0
Synthesizing Text-to-SQL Data from Weak and Strong LLMs—0
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization—0
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection—0
A Causal Framework to Unify Common Domain Generalization Approaches—0
A Causal Perspective of Stock Prediction Models—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