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 8751–8800 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 Loss—0
Local Relation Networks for Image RecognitionCode0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
Unsupervised Deep Learning by Neighbourhood DiscoveryCode0
Unsupervised Label Noise Modeling and Loss CorrectionCode0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks—0
Low-Memory Neural Network Training: A Technical Report—0
Deep Sparse Representation-based ClassificationCode0
DenseNet Models for Tiny ImageNet ClassificationCode0
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms—0
Attention Augmented Convolutional NetworksCode0
Switchable Whitening for Deep Representation LearningCode0
Neural Architecture Search for Deep Face Recognition—0
State Classification of Cooking Objects Using a VGG CNN—0
Data-Driven Neuron Allocation for Scale Aggregation NetworksCode0
Class specific or shared? A cascaded dictionary learning framework for image classification—0
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods—0
Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification—0
Sparseout: Controlling Sparsity in Deep NetworksCode0
TextCaps : Handwritten Character Recognition with Very Small DatasetsCode0
Double Transfer Learning for Breast Cancer Histopathologic Image Classification—0
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation—0
Deep learning for image segmentation: veritable or overhyped?—0
Cryo-Electron Microscopy Image Analysis Using Multi-Frequency Vector Diffusion Maps—0
LeanResNet: A Low-cost Yet Effective Convolutional Residual Networks—0
Texture image analysis and texture classification methods - A review—0
Incremental multi-domain learning with network latent tensor factorization—0
Unrestricted Adversarial Examples via Semantic ManipulationCode0
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense—0
Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients—0
A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class CentroidsCode0
An Analysis of Pre-Training on Object Detection—0
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification—0
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave ConvolutionCode0
CondConv: Conditionally Parameterized Convolutions for Efficient InferenceCode0
Towards Analyzing Semantic Robustness of Deep Neural NetworksCode0
SWNet: Small-World Neural Networks and Rapid Convergence—0
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral imagesCode0
Automated Search for Configurations of Deep Neural Network ArchitecturesCode0
Decomposition-Based Transfer Distance Metric Learning for Image Classification—0
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification—0
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer LearningCode0
Multi-View Matrix Completion for Multi-Label Image Classification—0
Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning—0
Filter Pruning by Switching to Neighboring CNNs with Good Attributes—0
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification—0
WeNet: Weighted Networks for Recurrent Network Architecture Search—0
Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images—0
SoDeep: a Sorting Deep net to learn ranking loss surrogatesCode0
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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