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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1701–1725 of 1751 papers

Title	Date	Tasks	Status
Domain Generalization by Solving Jigsaw Puzzles	Jun 1, 2019	Domain GeneralizationObject Recognition	CodeCode Available
AutoAugment: Learning Augmentation Strategies From Data	Jun 1, 2019	Data AugmentationDomain Generalization	CodeCode Available
Multi-Adversarial Discriminative Deep Domain Generalization for Face Presentation Attack Detection	Jun 1, 2019	Domain GeneralizationFace Anti-Spoofing	CodeCode Available
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation	Jun 1, 2019	Domain AdaptationDomain Generalization	—Unverified
Generalizable Person Re-Identification by Domain-Invariant Mapping Network	Jun 1, 2019	Domain GeneralizationGeneralizable Person Re-identification	—Unverified
A Cross-Domain Transferable Neural Coherence Model	May 28, 2019	ArticlesDomain Generalization	CodeCode Available
Domain Generalization via Universal Non-volume Preserving Models	May 28, 2019	Domain AdaptationDomain Generalization	—Unverified
A Generalization Error Bound for Multi-class Domain Generalization	May 24, 2019	ClassificationDomain Generalization	—Unverified
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization	Apr 29, 2019	Domain Generalization	—Unverified
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting	Apr 23, 2019	Domain GeneralizationGeneralizable Person Re-identification	—Unverified
Predicting human decisions with behavioral theories and machine learning	Apr 15, 2019	BIG-bench Machine LearningDecision Making	—Unverified
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth	Apr 3, 2019	3D Depth EstimationDepth Estimation	CodeCode Available
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)	Mar 28, 2019	Cross-corpusDomain Generalization	—Unverified
DIVA: Domain Invariant Variational Autoencoder	Mar 27, 2019	Domain GeneralizationRotated MNIST	—Unverified
Domain Generalization by Solving Jigsaw Puzzles	Mar 16, 2019	Domain GeneralizationImage Classification	CodeCode Available
Adversarial Feature Learning under Accuracy Constraint for Domain Generalization	Mar 14, 2019	Domain Generalization	—Unverified
Learning Robust Representations by Projecting Superficial Statistics Out	Mar 2, 2019	Domain Generalization	—Unverified
Cooperative Learning of Disjoint Syntax and Semantics	Feb 25, 2019	Domain GeneralizationNatural Language Inference	CodeCode Available
A Domain Generalization Perspective on Listwise Context Modeling	Feb 12, 2019	Domain GeneralizationInformation Retrieval	—Unverified
Episodic Training for Domain Generalization	Jan 31, 2019	Domain Generalization	CodeCode Available
Feature-Critic Networks for Heterogeneous Domain Generalization	Jan 31, 2019	Domain AdaptationDomain Generalization	CodeCode Available
Generalization of feature embeddings transferred from different video anomaly detection domains	Jan 28, 2019	Anomaly DetectionDomain Generalization	—Unverified
A review of domain adaptation without target labels	Jan 16, 2019	Domain AdaptationDomain Generalization	CodeCode Available
Multi-component Image Translation for Deep Domain Generalization	Dec 21, 2018	Domain AdaptationDomain Generalization	—Unverified
Beyond Domain Adaptation: Unseen Domain Encapsulation via Universal Non-volume Preserving Models	Dec 9, 2018	Domain AdaptationDomain Generalization	—Unverified

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All datasets PACS VizWiz-Classification ImageNet-C Office-Home ImageNet-A ImageNet-R DomainNet VLCS TerraIncognita GTA-to-Avg(Cityscapes,BDD,Mapillary)ImageNet-Sketch GTA5 to Cityscapes

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SIMPLE+	Average Accuracy	99	—	Unverified
2	PromptStyler (CLIP, ViT-L/14)	Average Accuracy	98.6	—	Unverified
3	GMDG (RegNetY-16GF, SWAD)	Average Accuracy	97.9	—	Unverified
4	D-Triplet(RegNetY-16GF)	Average Accuracy	97.6	—	Unverified
5	MoA (OpenCLIP, ViT-B/16)	Average Accuracy	97.4	—	Unverified
6	GMDG (e RegNetY-16GF)	Average Accuracy	97.3	—	Unverified
7	PromptStyler (CLIP, ViT-B/16)	Average Accuracy	97.2	—	Unverified
8	SPG (CLIP, ViT-B/16)	Average Accuracy	97	—	Unverified
9	CAR-FT (CLIP, ViT-B/16)	Average Accuracy	96.8	—	Unverified
10	MIRO (RegNetY-16GF, SWAD)	Average Accuracy	96.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ViT-8/B-224	Accuracy - Clean Images	450	—	Unverified
2	VOLO-D5	Accuracy - All Images	57.2	—	Unverified
3	ConvNeXt-B	Accuracy - All Images	53.5	—	Unverified
4	ResNeXt-101 32x16d	Accuracy - All Images	51.7	—	Unverified
5	EfficientNet-B8 (advprop+autoaug)	Accuracy - All Images	50.5	—	Unverified
6	EfficientNet-B7 (advprop+autoaug)	Accuracy - All Images	49.7	—	Unverified
7	EfficientNet-B6 (advprop+autoaug)	Accuracy - All Images	49.6	—	Unverified
8	EfficientNet-B5 (advprop+autoaug)	Accuracy - All Images	49.1	—	Unverified
9	ViT-16/L-224	Accuracy - All Images	49	—	Unverified
10	ResNet-50 (gn)	Accuracy - All Images	48.9	—	Unverified