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 851875 of 1751 papers

TitleStatusHype
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density DomainsCode0
Improving Domain Generalization by Learning without Forgetting: Application in Retail CheckoutCode0
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue ClassificationCode0
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain GeneralizationCode0
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained ModelsCode0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
Improving Generalization with Domain Convex GameCode0
Heterogeneous Domain Generalization via Domain MixupCode0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
Robust Place Categorization with Deep Domain GeneralizationCode0
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters0
Chain of Thought Prompt Tuning in Vision Language Models0
Domain Generalization for Robust Model-Based Offline Reinforcement Learning0
Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction0
Domain generalization for retinal vessel segmentation via Hessian-based vector field0
Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision0
CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing0
Ani-GIFs: A benchmark dataset for domain generalization of action recognition from GIFs0
Domain Generalization for Medical Image Analysis: A Review0
Domain Generalization for Mammographic Image Analysis with Contrastive Learning0
Center-aware Adversarial Augmentation for Single Domain Generalization0
Domain Generalization for In-Orbit 6D Pose Estimation0
Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency0
Domain Generalization for Domain-Linked Classes0
Domain Generalization for Cross-Receiver Radio Frequency Fingerprint Identification0
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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