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 7026–7050 of 10420 papers

TitleStatusHype
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
A Framework For Contrastive Self-Supervised Learning And Designing A New ApproachCode4
Extreme Memorization via Scale of InitializationCode0
Deep Learning Techniques for Geospatial Data Analysis—0
Background Splitting: Finding Rare Classes in a Sea of BackgroundCode0
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
Webly Supervised Image Classification with Self-Contained ConfidenceCode0
Visual Concept Reasoning Networks—0
Synthetic Sample Selection via Reinforcement Learning—0
Protect, Show, Attend and Tell: Empowering Image Captioning Models with Ownership ProtectionCode1
A Survey on Evolutionary Neural Architecture Search—0
Explainable Disease Classification via weakly-supervised segmentation—0
Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification—0
Self-Supervised Learning for Large-Scale Unsupervised Image ClusteringCode1
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks—0
Few-Shot Image Classification via Contrastive Self-Supervised Learning—0
Emergent symbolic language based deep medical image classificationCode0
One Weight Bitwidth to Rule Them All—0
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory—0
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema AssessmentCode1
Robustness and Overfitting Behavior of Implicit Background ModelsCode0
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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