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 4401–4410 of 10420 papers

Title	Date	Tasks	Status
Deep Learning Generalization and the Convex Hull of Training Sets	Jan 25, 2021	Deep Learningimage-classification	—Unverified
A Modified Perturbed Sampling Method for Local Interpretable Model-agnostic Explanation	Feb 18, 2020	image-classificationImage Classification	—Unverified
Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion	Sep 18, 2020	ClassificationGeneral Classification	—Unverified
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network	Sep 26, 2019	ClassificationGeneral Classification	—Unverified
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification	Feb 3, 2018	Breast Cancer Histology Image ClassificationGeneral Classification	—Unverified
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients	Mar 15, 2024	image-classificationImage Classification	—Unverified
Deep Learning for Logo Recognition	Jan 10, 2017	Data AugmentationDeep Learning	—Unverified
Deep learning for lithological classification of carbonate rock micro-CT images	Jul 30, 2020	General Classificationimage-classification	—Unverified
BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models	Jun 17, 2024	image-classificationImage Classification	—Unverified
Explanation and Use of Uncertainty Quantified by Bayesian Neural Network Classifiers for Breast Histopathology Images	Oct 7, 2020	Dimensionality ReductionGeneral 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	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