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 1401–1450 of 1751 papers

TitleStatusHype
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
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning—0
MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models—0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Color-Quality Invariance for Robust Medical Image SegmentationCode0
When Vision Transformers Outperform ResNets without Pre-training or Strong Data AugmentationsCode0
Understanding Domain Generalization: A Noise Robustness PerspectiveCode0
PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain GeneralizationCode0
Magnification Generalization for Histopathology Image EmbeddingCode0
Robust White Matter Hyperintensity Segmentation on Unseen DomainCode0
Generalizing to unseen domains via distribution matchingCode0
Understanding the Limits of Unsupervised Domain Adaptation via Data PoisoningCode0
Adversarial Style Augmentation for Domain Generalized Urban-Scene SegmentationCode0
Meta Distribution Alignment for Generalizable Person Re-IdentificationCode0
LFME: A Simple Framework for Learning from Multiple Experts in Domain GeneralizationCode0
Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze EstimationCode0
Leveraging Vision-Language Models for Visual Grounding and Analysis of Automotive UICode0
UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception DetectionCode0
Collaborative Semantic Aggregation and Calibration for Federated Domain GeneralizationCode0
Domain Generalization via Nuclear Norm RegularizationCode0
Domain Generalization via Model-Agnostic Learning of Semantic FeaturesCode0
Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language ModelsCode0
CLAP-S: Support Set Based Adaptation for Downstream Fiber-optic Acoustic RecognitionCode0
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain GeneralizationCode0
Certifying Out-of-Domain Generalization for Blackbox FunctionsCode0
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain GeneralizationCode0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-AttentionCode0
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain GeneralizationCode0
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI ModelsCode0
The Data Challenge in Misinformation Detection: Source Reputation vs. Content VeracityCode0
Learning to Learn Single Domain GeneralizationCode0
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View DepthCode0
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented CalibrationCode0
1st Place Solution for ECCV 2022 OOD-CV Challenge Object Detection TrackCode0
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-raysCode0
Domain generalization via invariant feature representationCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationCode0
Domain Generalization Using a Mixture of Multiple Latent DomainsCode0
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain GeneralizationCode0
Unified Deep Supervised Domain Adaptation and GeneralizationCode0
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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