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 4311–4320 of 10420 papers

Title	Date	Tasks	Status
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning	Nov 5, 2020	General Classificationimage-classification	—Unverified
Deep Neural Networks for Object Detection	Dec 1, 2013	General Classificationimage-classification	—Unverified
Deep Neural Networks for Marine Debris Detection in Sonar Images	May 13, 2019	image-classificationImage Classification	—Unverified
Batch Normalization: Accelerating Deep Network Training byReducing Internal Covariate Shift	Jul 7, 2015	General Classificationimage-classification	—Unverified
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks	May 14, 2018	Autonomous DrivingCloud Computing	—Unverified
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification	Apr 28, 2021	image-classificationImage Classification	—Unverified
Deep Neural Networks and PIDE discretizations	Aug 5, 2021	Autonomous Drivingimage-classification	—Unverified
Deep Neural Networks	Oct 25, 2017	image-classificationImage Classification	—Unverified
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains	Feb 28, 2024	Fine-Grained Image Classificationimage-classification	—Unverified
A Multiresolution Clinical Decision Support System Based on Fractal Model Design for Classification of Histological Brain Tumours	Dec 25, 2015	ClassificationDiagnostic	—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	Meta Pseudo Labels (EfficientNet-L2)	Top 1 Accuracy	90.2	—	Unverified
6	DaViT-H	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	RevCol-H	Top 1 Accuracy	90	—	Unverified