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 9701–9725 of 10420 papers

TitleStatusHype
Lensless-camera based machine learning for image classification—0
A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders—0
Adversarial Training for Relation Extraction—0
Data Augmentation for Visual Question Answering—0
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation—0
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost TuningCode0
Multi-task Dictionary Learning based Convolutional Neural Network for Computer aided Diagnosis with Longitudinal Images—0
Learning Invariant Riemannian Geometric Representations Using Deep Nets—0
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models—0
Imbalanced Malware Images Classification: a CNN based Approach—0
Evaluation of Deep Learning on an Abstract Image Classification Dataset—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
Application of a Convolutional Neural Network for image classification to the analysis of collisions in High Energy PhysicsCode0
Non-linear Convolution Filters for CNN-based Learning—0
Towards Automatic Construction of Diverse, High-quality Image Dataset—0
Dilated Deep Residual Network for Image Denoising—0
Practical Block-wise Neural Network Architecture GenerationCode0
Power Optimizations in MTJ-based Neural Networks through Stochastic Computing—0
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute ModelsCode0
Style2Vec: Representation Learning for Fashion Items from Style SetsCode0
Image Quality Assessment Guided Deep Neural Networks TrainingCode0
Analysis of Convolutional Neural Networks for Document Image Classification—0
Modality-bridge Transfer Learning for Medical Image Classification—0
Unsupervised Representation Learning by Sorting SequencesCode0
ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections—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
10RevCol-HTop 1 Accuracy90—Unverified