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 2851–2860 of 10420 papers

Title	Date	Tasks	Status	Score
Unrestricted Adversarial Examples via Semantic Manipulation	Apr 12, 2019	ColorizationImage Captioning	CodeCode Available	5
Improving Generalization of Batch Whitening by Convolutional Unit Optimization	Aug 24, 2021	image-classificationImage Classification	CodeCode Available	5
Improving k-Means Clustering Performance with Disentangled Internal Representations	Jun 5, 2020	ClusteringDeep Clustering	CodeCode Available	5
Improving model calibration with accuracy versus uncertainty optimization	Dec 14, 2020	image-classificationImage Classification	CodeCode Available	5
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation	Jun 30, 2022	Diversityimage-classification	CodeCode Available	5
Improving Fairness in Image Classification via Sketching	Oct 31, 2022	ClassificationFairness	CodeCode Available	5
An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification	Dec 10, 2017	General Classificationimage-classification	CodeCode Available	5
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring	Jul 17, 2022	image-classificationImage Classification	CodeCode Available	5
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection	Jun 2, 2023	image-classificationImage Classification	CodeCode Available	5
Biased Importance Sampling for Deep Neural Network Training	May 31, 2017	image-classificationImage Classification	CodeCode Available	5

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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