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 5826–5850 of 10420 papers

TitleStatusHype
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture SearchCode0
Robust Classification using Contractive Hamiltonian Neural ODEsCode0
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error AnalysisCode0
Feature Distribution Matching for Federated Domain GeneralizationCode0
Generative Modeling Helps Weak Supervision (and Vice Versa)Code0
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices—0
MTBF-33: A multi-temporal building footprint dataset for 33 counties in the United States (1900-2015)—0
Image Classification on Accelerated Neural Networks—0
Towards Self-Supervised Gaze Estimation—0
Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm—0
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward—0
Vision Transformer with Convolutions Architecture Search—0
Over-parameterization: A Necessary Condition for Models that Extrapolate—0
CRISPnet: Color Rendition ISP Net—0
Deep Learning Generalization, Extrapolation, and Over-parameterization—0
Incremental Few-Shot Learning via Implanting and Compressing—0
Three things everyone should know about Vision TransformersCode0
Identifying Transients in the Dark Energy Survey using Convolutional Neural NetworksCode0
Transframer: Arbitrary Frame Prediction with Generative Models—0
An Interactive Explanatory AI System for Industrial Quality Control—0
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation—0
A Continual Learning Framework for Adaptive Defect Classification and Inspection—0
A New Quantum CNN Model for Image Classification—0
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications—0
Learning to Generate Synthetic Training Data using Gradient Matching and Implicit DifferentiationCode0
Show:102550
← PrevPage 234 of 417Next →
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