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 801825 of 1751 papers

TitleStatusHype
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
Towards Data-Centric Face Anti-Spoofing: Improving Cross-domain Generalization via Physics-based Data SynthesisCode0
Domain-Guided Weight Modulation for Semi-Supervised Domain GeneralizationCode0
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network0
Efficient LLM Context Distillation0
Causal Representation-Based Domain Generalization on Gaze Estimation0
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space ModelCode0
MePT: Multi-Representation Guided Prompt Tuning for Vision-Language Model0
Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously0
Cross-Species Data Integration for Enhanced Layer Segmentation in Kidney PathologyCode0
StylePrompter: Enhancing Domain Generalization with Test-Time Style Priors0
Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging0
Robust Domain Generalization for Multi-modal Object Recognition0
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarningCode0
Zero-shot Factual Consistency Evaluation Across DomainsCode0
Mixstyle-Entropy: Domain Generalization with Causal Intervention and PerturbationCode0
PushPull-Net: Inhibition-driven ResNet robust to image corruptionsCode0
Synthesizing Text-to-SQL Data from Weak and Strong LLMs0
Lesion Elevation Prediction from Skin Images Improves DiagnosisCode0
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks0
Reducing Spurious Correlation for Federated Domain Generalization0
Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D TransformersCode0
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic SegmentationCode0
Weighted Risk Invariance: Domain Generalization under Invariant Feature ShiftCode0
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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