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 3471–3480 of 10420 papers

Title	Date	Tasks	Status
Federated Learning Versus Classical Machine Learning: A Convergence Comparison	Jul 22, 2021	BIG-bench Machine LearningFederated Learning	—Unverified
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations	Aug 12, 2021	Image ClassificationMulti-Task Learning	—Unverified
Efficient Scale-Permuted Backbone with Learned Resource Distribution	Oct 22, 2020	General Classificationimage-classification	—Unverified
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain	Sep 12, 2021	Backdoor Attackimage-classification	—Unverified
Diagnosing Convolutional Neural Networks using their Spectral Response	Oct 8, 2018	DiagnosticGeneral Classification	—Unverified
Federated Learning for Commercial Image Sources	Jul 17, 2025	Federated Learningimage-classification	—Unverified
An Automated Deep Learning Approach for Bacterial Image Classification	Dec 4, 2019	ClassificationDeep Learning	—Unverified
Efficient Super Resolution Using Binarized Neural Network	Dec 16, 2018	Binarizationimage-classification	—Unverified
Efficient Transformations in Deep Learning Convolutional Neural Networks	Jun 19, 2025	Computational EfficiencyDeep Learning	—Unverified
Federated Learning for Medical Image Classification: A Comprehensive Benchmark	Apr 7, 2025	Computational EfficiencyDenoising	—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