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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7451–7475 of 10420 papers

TitleStatusHype
Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification—0
Pooling Revisited: Your Receptive Field is Suboptimal—0
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition—0
Asynchronous Decentralized SGD with Quantized and Local Updates—0
Deep learning based prediction of Alzheimer's disease from magnetic resonance images—0
Portmanteau Vocabularies for Multi-Cue Image Representation—0
Portuguese Man-of-War Image Classification with Convolutional Neural Networks—0
Pose Guided Attention for Multi-label Fashion Image Classification—0
Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods—0
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions—0
Deep Learning based Multi-Label Image Classification of Protest Activities—0
Positive-Congruent Training: Towards Regression-Free Model Updates—0
Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms—0
Post-hoc Calibration of Neural Networks by g-Layers—0
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification—0
Deep Learning based HEp-2 Image Classification: A Comprehensive Review—0
Post-variational quantum neural networks—0
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability—0
Backpropagation-free Training of Deep Physical Neural Networks—0
AMLA: an AutoML frAmework for Neural Network Design—0
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation—0
PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion—0
Integrated perception with recurrent multi-task neural networks—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified