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 7476–7500 of 10420 papers

TitleStatusHype
An Efficient Technique for Image Captioning using Deep Neural Network—0
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima—0
Data Augmentation for Electrocardiogram Classification with Deep Neural Network—0
Explanation of Unintended Radiated Emission Classification via LIME—0
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution—0
Multimodal brain tumor classification—0
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization—0
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images—0
Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance—0
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction—0
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily—0
Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification—0
Extreme Memorization via Scale of InitializationCode0
Deep Learning Techniques for Geospatial Data Analysis—0
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
Background Splitting: Finding Rare Classes in a Sea of BackgroundCode0
Webly Supervised Image Classification with Self-Contained ConfidenceCode0
Synthetic Sample Selection via Reinforcement Learning—0
Visual Concept Reasoning Networks—0
A Survey on Evolutionary Neural Architecture Search—0
Explainable Disease Classification via weakly-supervised segmentation—0
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks—0
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification—0
Few-Shot Image Classification via Contrastive Self-Supervised Learning—0
Emergent symbolic language based deep medical image classificationCode0
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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