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 6351–6375 of 10420 papers

TitleStatusHype
Multi-Semantic Image Recognition Model and Evaluating Index for explaining the deep learning models—0
Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation—0
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?—0
DeepPSL: End-to-end perception and reasoning—0
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge—0
Federated Deep Learning with Bayesian Privacy—0
Predicting Driver Self-Reported Stress by Analyzing the Road Scene—0
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning—0
Training on Test Data with Bayesian Adaptation for Covariate Shift—0
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent PriorsCode0
Audio-to-Image Cross-Modal Generation—0
Accelerated PDEs for Construction and Theoretical Analysis of an SGD Extension—0
Frequency Disentangled Residual Network—0
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System—0
Distribution-sensitive Information Retention for Accurate Binary Neural Network—0
From images in the wild to video-informed image classification—0
Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling—0
A Multi-stage Transfer Learning Framework for Diabetic Retinopathy Grading on Small Data—0
FooBaR: Fault Fooling Backdoor Attack on Neural Network TrainingCode0
Partial sensitivity analysis in differential privacyCode0
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications—0
Explaining Convolutional Neural Networks by Tagging Filters—0
Audio-Visual Speech Recognition is Worth 32328 Voxels—0
GhostShiftAddNet: More Features from Energy-Efficient OperationsCode0
Class incremental learning for video action classification—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified