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 7801–7825 of 10420 papers

TitleStatusHype
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations—0
Deep Residual Network based food recognition for enhanced Augmented Reality application—0
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images—0
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications—0
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors—0
Time Dependence in Non-Autonomous Neural ODEs—0
One-Shot Image Classification by Learning to Restore Prototypes—0
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration—0
LIMEtree: Consistent and Faithful Multi-class ExplanationsCode0
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique—0
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks—0
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks—0
A Dataset for Troll Classification of TamilMemes—0
Learning from Noisy Labels with Noise Modeling Network—0
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks—0
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition—0
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES—0
Sequence Information Channel Concatenation for Improving Camera Trap Image Burst Classification—0
Deepfake Video Forensics based on Transfer Learning—0
Pseudo Rehearsal using non photo-realistic images—0
Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning ArchitecturesCode0
Minority Reports Defense: Defending Against Adversarial Patches—0
Trainable Activation Function in Image Classification—0
Identification of Cervical Pathology using Adversarial Neural Networks—0
Hyperspectral Images Classification Based on Multi-scale Residual Network—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
10RevCol-HTop 1 Accuracy90—Unverified