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 9126–9150 of 10420 papers

TitleStatusHype
Segmentation of Bleeding Regions in Wireless Capsule Endoscopy for Detection of Informative Frames—0
Attention Gated Networks: Learning to Leverage Salient Regions in Medical ImagesCode0
Asymptotic Soft Filter Pruning for Deep Convolutional Neural NetworksCode0
Neural Architecture OptimizationCode0
Hyperspectral image classification using spectral-spatial LSTMs—0
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification—0
Class2Str: End to End Latent Hierarchy LearningCode0
Handwritten digit and letter recognition using hybrid dwt-dct with knn and svm classifier—0
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization—0
Robust training of recurrent neural networks to handle missing data for disease progression modeling—0
BlockQNN: Efficient Block-wise Neural Network Architecture GenerationCode0
predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning—0
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks—0
RedSync : Reducing Synchronization Traffic for Distributed Deep Learning—0
Fast, Better Training Trick --- Random Gradient—0
Text Classification using Capsules—0
Automatically designing CNN architectures using genetic algorithm for image classificationCode1
MARVIN: An Open Machine Learning Corpus and Environment for Automated Machine Learning Primitive Annotation and Execution—0
Classifier-Guided Visual Correction of Noisy Labels for Image Classification TasksCode0
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications—0
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning—0
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection—0
Designing Adaptive Neural Networks for Energy-Constrained Image Classification—0
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification ModelsCode0
Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection—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