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 151200 of 1751 papers

TitleStatusHype
SETA: Semantic-Aware Token Augmentation for Domain GeneralizationCode1
Towards Generalizing to Unseen Domains with Few LabelsCode1
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose EstimationCode1
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated ExpertsCode1
Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain TransferCode1
Rethinking Multi-domain Generalization with A General Learning ObjectiveCode1
Suppress and Rebalance: Towards Generalized Multi-Modal Face Anti-SpoofingCode1
Do causal predictors generalize better to new domains?Code1
G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object DetectionCode1
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain GeneralizationCode1
VLLaVO: Mitigating Visual Gap through LLMsCode1
Prompt-driven Latent Domain Generalization for Medical Image ClassificationCode1
Leveraging SAM for Single-Source Domain Generalization in Medical Image SegmentationCode1
Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain GeneralizationCode1
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and BeyondCode1
AdvST: Revisiting Data Augmentations for Single Domain GeneralizationCode1
Object-Aware Domain Generalization for Object DetectionCode1
Collaborating Foundation Models for Domain Generalized Semantic SegmentationCode1
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain GeneralizationCode1
Generalizable Sleep Staging via Multi-Level Domain AlignmentCode1
Compound Text-Guided Prompt Tuning via Image-Adaptive CuesCode1
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Benchmarking Distribution Shift in Tabular Data with TableShiftCode1
Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer LearningCode1
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic SegmentationCode1
Robust Domain Misinformation Detection via Multi-modal Feature AlignmentCode1
Parameter Exchange for Robust Dynamic Domain GeneralizationCode1
A2XP: Towards Private Domain GeneralizationCode1
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense EncodersCode1
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization AlgorithmsCode1
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image SegmentationCode1
SimMMDG: A Simple and Effective Framework for Multi-modal Domain GeneralizationCode1
Domain-Generalized Face Anti-Spoofing with Unknown AttacksCode1
Towards Generic Semi-Supervised Framework for Volumetric Medical Image SegmentationCode1
Unlocking Emergent Modularity in Large Language ModelsCode1
Domain Generalization Using Large Pretrained Models with Mixture-of-AdaptersCode1
Towards Generalizable Multi-Camera 3D Object Detection via Perspective DebiasingCode1
Towards Unified and Effective Domain GeneralizationCode1
Leveraging Vision-Language Models for Improving Domain Generalization in Image ClassificationCode1
BioBridge: Bridging Biomedical Foundation Models via Knowledge GraphsCode1
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity LearningCode1
Discovering environments with XRMCode1
FedDrive v2: an Analysis of the Impact of Label Skewness in Federated Semantic Segmentation for Autonomous DrivingCode1
Learning Invariant Representations with a Nonparametric Nadaraya-Watson HeadCode1
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language GuidanceCode1
Weight Averaging Improves Knowledge Distillation under Domain ShiftCode1
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient ChannelsCode1
OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion DataCode1
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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