SOTAVerified

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

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Showing 8376–8400 of 10420 papers

TitleStatusHype
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models—0
Deep Learning and Medical Imaging for COVID-19 Diagnosis: A Comprehensive Survey—0
Deep Learning Applications Based on WISE Infrared Data: Classification of Stars, Galaxies and Quasars—0
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey—0
Deep Learning At Scale and At Ease—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
ParasNet: Fast Parasites Detection with Neural Networks—0
Deep Learning Based Classification System For Recognizing Local Spinach—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Deep Learning based HEp-2 Image Classification: A Comprehensive Review—0
Deep Learning based Multi-Label Image Classification of Protest Activities—0
Deep learning based prediction of Alzheimer's disease from magnetic resonance images—0
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response—0
Deep Learning Classification With Noisy Labels—0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—0
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers—0
Deep Learning for Apple Diseases: Classification and Identification—0
Deep learning for classification of noisy QR codes—0
Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X—0
Deep Learning For Computer Vision Tasks: A review—0
Deep Learning for Hyperspectral Image Classification: An Overview—0
Deep learning for lithological classification of carbonate rock micro-CT images—0
Deep Learning for Logo Recognition—0
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients—0
Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified