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 601625 of 1751 papers

TitleStatusHype
Prompt-driven Latent Domain Generalization for Medical Image ClassificationCode1
Leveraging SAM for Single-Source Domain Generalization in Medical Image SegmentationCode1
Distillation-based fabric anomaly detectionCode0
Few-shot Adaptation of Multi-modal Foundation Models: A Survey0
Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space0
Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain GeneralizationCode1
Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic SegmentationCode3
Disentangled Prompt Representation for Domain Generalization0
MMA: Multi-Modal Adapter for Vision-Language ModelsCode2
Improving Intrusion Detection with Domain-Invariant Representation Learning in Latent Space0
Domain Generalization with Vital Phase AugmentationCode0
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text ClassificationCode0
APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and BeyondCode1
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated LearningCode0
AdvST: Revisiting Data Augmentations for Single Domain GeneralizationCode1
Object-Aware Domain Generalization for Object DetectionCode1
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density DomainsCode0
Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning0
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
ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater EnvironmentsCode0
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
Two-Stage Adaptive Network for Semi-Supervised Cross-Domain Crater Detection under Varying Scenario Distributions0
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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