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 601–650 of 1751 papers

TitleStatusHype
Generalizable Multispectral Land Cover Classification via Frequency-Aware Mixture of Low-Rank Token Experts—0
All in One Framework for Multimodal Re-identification in the Wild—0
Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?—0
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization—0
DocuT5: Seq2seq SQL Generation with Table Documentation—0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations—0
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization—0
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images—0
Diverse Target and Contribution Scheduling for Domain Generalization—0
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition—0
Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network—0
GDDS: A Single Domain Generalized Defect Detection Frame of Open World Scenario using Gather and Distribute Domain-shift Suppression Network—0
Diverse Deep Feature Ensemble Learning for Omni-Domain Generalized Person Re-identification—0
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation—0
Aligned Divergent Pathways for Omni-Domain Generalized Person Re-Identification—0
DIVA: Domain Invariant Variational Autoencoder—0
GAQAT: gradient-adaptive quantization-aware training for domain generalization—0
Boosting Federated Domain Generalization: Understanding the Role of Advanced Pre-Trained Architectures—0
ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals—0
Adaptive Mixture of Experts Learning for Generalizable Face Anti-Spoofing—0
GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection—0
Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning—0
A Language Anchor-Guided Method for Robust Noisy Domain Generalization—0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation—0
Adaptive Methods for Real-World Domain Generalization—0
SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization—0
DISPEL: Domain Generalization via Domain-Specific Liberating—0
BoosterNet: Improving Domain Generalization of Deep Neural Nets Using Culpability-Ranked Features—0
Disentangled Prompt Representation for Domain Generalization—0
BMIP: Bi-directional Modality Interaction Prompt Learning for VLM—0
AirFi: Empowering WiFi-based Passive Human Gesture Recognition to Unseen Environment via Domain Generalization—0
GameFactory: Creating New Games with Generative Interactive Videos—0
Discussion on domain generalization in the cross-device speaker verification system—0
A Hybrid Architecture with Efficient Fine Tuning for Abstractive Patent Document Summarization—0
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization—0
AI Fairness via Domain Adaptation—0
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems—0
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification—0
Bi-Level Meta-Learning for Few-Shot Domain Generalization—0
Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning—0
Discrepancy-Optimal Meta-Learning for Domain Generalization—0
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors—0
Fully Test-Time rPPG Estimation via Synthetic Signal-Guided Feature Learning—0
Generalizability of Adversarial Robustness Under Distribution Shifts—0
Discovering Spatial Relationships by Transformers for Domain Generalization—0
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models—0
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding—0
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization—0
Directional Domain Generalization—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