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 4651–4675 of 10420 papers

TitleStatusHype
MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015)—0
ViM: Out-Of-Distribution with Virtual-logit MatchingCode1
Test-time Adaptation with Slot-Centric ModelsCode1
Image Classification on Accelerated Neural Networks—0
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object NavigationCode1
Vision Transformer with Convolutions Architecture Search—0
Over-parameterization: A Necessary Condition for Models that Extrapolate—0
CRISPnet: Color Rendition ISP Net—0
Incremental Few-Shot Learning via Implanting and Compressing—0
Deep Learning Generalization, Extrapolation, and Over-parameterization—0
Three things everyone should know about Vision TransformersCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Do Deep Networks Transfer Invariances Across Classes?Code1
DocXClassifier: High Performance Explainable Deep Network for Document Image ClassificationCode1
An Interactive Explanatory AI System for Industrial Quality Control—0
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?Code1
Transframer: Arbitrary Frame Prediction with Generative Models—0
DATA: Domain-Aware and Task-Aware Self-supervised LearningCode1
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation—0
A New Quantum CNN Model for Image Classification—0
A Continual Learning Framework for Adaptive Defect Classification and Inspection—0
Learning to Generate Synthetic Training Data using Gradient Matching and Implicit DifferentiationCode0
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space—0
Decoupled Knowledge DistillationCode2
Open Set Recognition using Vision Transformer with an Additional Detection HeadCode1
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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