Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 4051–4060 of 10420 papers

Title	Date	Tasks	Status
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations	Nov 13, 2020	BIG-bench Machine LearningDimensionality Reduction	—Unverified
Federated Learning Versus Classical Machine Learning: A Convergence Comparison	Jul 22, 2021	BIG-bench Machine LearningFederated Learning	—Unverified
Descriptive analysis of computational methods for automating mammograms with practical applications	Oct 6, 2020	Content-Based Image RetrievalDescriptive	—Unverified
Federated Learning with Bayesian Differential Privacy	Nov 22, 2019	Federated Learningimage-classification	—Unverified
Federated Learning with Downlink Device Selection	Jul 7, 2021	Federated Learningimage-classification	—Unverified
Federated Learning with Privacy-Preserving Ensemble Attention Distillation	Oct 16, 2022	Federated Learningimage-classification	—Unverified
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification	Oct 29, 2020	Adversarial RobustnessGeneral Classification	—Unverified
Analyzing Filters Toward Efficient ConvNet	Jun 1, 2018	ClassificationGeneral Classification	—Unverified
Federated Multi-Target Domain Adaptation	Aug 17, 2021	Domain AdaptationFederated Learning	—Unverified
Dermoscopic Image Classification with Neural Style Transfer	May 17, 2021	Classificationimage-classification	—Unverified

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All datasets ImageNet CIFAR-10 CIFAR-100 STL-10 ObjectNet MNIST SVHN iNaturalist 2018 ImageNet ReaL Flowers-102 Clothing1M mini WebVision 1.0

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CoCa (finetuned)	Top 1 Accuracy	91	—	Unverified
2	Model soups (BASIC-L)	Top 1 Accuracy	90.98	—	Unverified
3	Model soups (ViT-G/14)	Top 1 Accuracy	90.94	—	Unverified
4	DaViT-G	Top 1 Accuracy	90.4	—	Unverified
5	DaViT-H	Top 1 Accuracy	90.2	—	Unverified
6	Meta Pseudo Labels (EfficientNet-L2)	Top 1 Accuracy	90.2	—	Unverified
7	SwinV2-G	Top 1 Accuracy	90.17	—	Unverified
8	MAWS (ViT-6.5B)	Top 1 Accuracy	90.1	—	Unverified
9	Florence-CoSwin-H	Top 1 Accuracy	90.05	—	Unverified
10	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified