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 4021–4030 of 10420 papers

Title	Date	Tasks	Status
Feature Representation in Convolutional Neural Networks	Jul 8, 2015	ClassificationGeneral Classification	—Unverified
Features based Mammogram Image Classification using Weighted Feature Support Vector Machine	Sep 19, 2020	General Classificationimage-classification	—Unverified
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness	Mar 29, 2023	Adversarial Robustnessimage-classification	—Unverified
Feature Space Augmentation for Long-Tailed Data	Aug 9, 2020	Image ClassificationLong-tail Learning	—Unverified
A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification	May 30, 2022	Hyperspectral Image Classificationimage-classification	—Unverified
Feature Weaken: Vicinal Data Augmentation for Classification	Nov 20, 2022	ClassificationData Augmentation	—Unverified
Feature Whitening via Gradient Transformation for Improved Convergence	Oct 4, 2020	image-classificationImage Classification	—Unverified
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning	May 27, 2022	DiversityFederated Learning	—Unverified
FedBABU: Toward Enhanced Representation for Federated Image Classification	Sep 29, 2021	ClassificationFederated Learning	—Unverified
Designing Adaptive Neural Networks for Energy-Constrained Image Classification	Aug 5, 2018	Bayesian OptimizationClassification	—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	RevCol-H	Top 1 Accuracy	90	—	Unverified