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 2411–2420 of 10420 papers

Title	Date	Tasks	Status
Combining multiple resolutions into hierarchical representations for kernel-based image classification	Jul 9, 2016	ClassificationGeneral Classification	—Unverified
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches	Mar 16, 2021	Human Detectionimage-classification	—Unverified
Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection	Apr 15, 2024	DiagnosticFederated Learning	—Unverified
Distributed Transfer Learning with 4th Gen Intel Xeon Processors	Oct 10, 2023	ClassificationGPU	—Unverified
Distribution-Aware Adaptive Multi-Bit Quantization	Jun 19, 2021	image-classificationImage Classification	—Unverified
Adversarial Transformations for Semi-Supervised Learning	Nov 13, 2019	General Classificationimage-classification	—Unverified
Creating Ensembles of Classifiers through UMDA for Aerial Scene Classification	Mar 20, 2023	Aerial Scene ClassificationClassification	—Unverified
Combining Deep Learning with Good Old-Fashioned Machine Learning	Jul 8, 2022	BIG-bench Machine LearningDeep Learning	—Unverified
A Relational Model for One-Shot Classification	Nov 8, 2021	ClassificationData Augmentation	—Unverified
A Contrastive Learning Approach to Auroral Identification and Classification	Sep 28, 2021	ClassificationContrastive Learning	—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