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 9651–9675 of 10420 papers

TitleStatusHype
Arguing Machines: Human Supervision of Black Box AI Systems That Make Life-Critical DecisionsCode0
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks—0
Energy-efficient Amortized Inference with Cascaded Deep Classifiers—0
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks—0
Does Normalization Methods Play a Role for Hyperspectral Image Classification?—0
Deep Convolutional Neural Networks as Generic Feature Extractors—0
Energy-Based Spherical Sparse Coding—0
A concatenating framework of shortcut convolutional neural networks—0
Remote Sensing Image Classification with Large Scale Gaussian Processes—0
Locally-Transferred Fisher Vectors for Texture Classification—0
Pyramidal RoR for Image Classification—0
Deep Scene Image Classification With the MFAFVNet—0
Supplementary Meta-Learning: Towards a Dynamic Model for Deep Neural Networks—0
Scene Categorization With Spectral Features—0
Welding Defect Classification Based on Convolution Neural Network (CNN) and Gaussian Kernel—0
Unsupervised Classification of Intrusive Igneous Rock Thin Section Images using Edge Detection and Colour Analysis—0
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization—0
Deep Competitive Pathway NetworksCode0
Connectivity Learning in Multi-Branch Networks—0
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images—0
Output Range Analysis for Deep Neural Networks—0
Attribute Recognition by Joint Recurrent Learning of Context and Correlation—0
Fine-grained Discriminative Localization via Saliency-guided Faster R-CNN—0
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification—0
Machine Learning Models that Remember Too MuchCode0
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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