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 8776–8800 of 10420 papers

TitleStatusHype
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified