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 1601–1650 of 1751 papers

TitleStatusHype
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification—0
Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models—0
Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning—0
Exploring Acoustic Similarity in Emotional Speech and Music via Self-Supervised Representations—0
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift—0
Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets—0
Revisiting Spurious Correlation in Domain Generalization—0
Robust Domain-Free Domain Generalization with Class-aware Alignment—0
Robust Domain Generalization for Multi-modal Object Recognition—0
Robust Ensemble Morph Detection with Domain Generalization—0
Robust face anti-spoofing framework with Convolutional Vision Transformer—0
Robust Internal Representations for Domain Generalization—0
Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection—0
Robust Representation Learning with Self-Distillation for Domain Generalization—0
Robust Semantic Parsing with Adversarial Learning for Domain Generalization—0
Robust sensitivity control in digital pathology via tile score distribution matching—0
RoCA: Robust Cross-Domain End-to-End Autonomous Driving—0
RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings—0
Rotation-Adaptive Point Cloud Domain Generalization via Intricate Orientation Learning—0
Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge—0
RPLKG: Robust Prompt Learning with Knowledge Graph—0
S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens—0
SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming—0
SAGE: Saliency-Guided Mixup with Optimal Rearrangements—0
SASMU: boost the performance of generalized recognition model using synthetic face dataset—0
Scalable and Domain-General Abstractive Proposition Segmentation—0
Scale Invariant Domain Generalization Image Recapture Detection—0
Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization—0
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization—0
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation—0
SDTracker: Synthetic Data Based Multi-Object Tracking—0
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes—0
Selective Cross-Domain Consistency Regularization for Time Series Domain Generalization—0
Self-balanced Learning For Domain Generalization—0
Self-Domain Adaptation for Face Anti-Spoofing—0
Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding—0
Self-Supervised Learning Across Domains—0
Semantic Augmentation in Images using Language—0
Semantic Clustering for Robust Fine-Grained Scene Recognition—0
Semantic Image Segmentation: Two Decades of Research—0
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization—0
SememeASR: Boosting Performance of End-to-End Speech Recognition against Domain and Long-Tailed Data Shift with Sememe Semantic Knowledge—0
Seeking Flat Minima with Mean Teacher on Semi- and Weakly-Supervised Domain Generalization for Object Detection—0
Semi-Supervised Disparity Estimation with Deep Feature Reconstruction—0
Sequential Learning for Domain Generalization—0
Shape-Biased Domain Generalization via Shock Graph Embeddings—0
Shape Guided Gradient Voting for Domain Generalization—0
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—0
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data—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