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

Showing 87518775 of 10420 papers

TitleStatusHype
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of ResourcesCode0
Learning Discriminative Features Via Weights-biased Softmax Loss0
Local Relation Networks for Image RecognitionCode0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers0
Unsupervised Deep Learning by Neighbourhood DiscoveryCode0
Unsupervised Label Noise Modeling and Loss CorrectionCode0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks0
Low-Memory Neural Network Training: A Technical Report0
Deep Sparse Representation-based ClassificationCode0
DenseNet Models for Tiny ImageNet ClassificationCode0
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms0
Attention Augmented Convolutional NetworksCode0
Switchable Whitening for Deep Representation LearningCode0
Neural Architecture Search for Deep Face Recognition0
State Classification of Cooking Objects Using a VGG CNN0
Data-Driven Neuron Allocation for Scale Aggregation NetworksCode0
Class specific or shared? A cascaded dictionary learning framework for image classification0
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods0
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification0
Sparseout: Controlling Sparsity in Deep NetworksCode0
TextCaps : Handwritten Character Recognition with Very Small DatasetsCode0
Double Transfer Learning for Breast Cancer Histopathologic Image Classification0
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation0
Deep learning for image segmentation: veritable or overhyped?0
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps0
Show:102550
← PrevPage 351 of 417Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified