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

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Showing 8251–8275 of 10420 papers

TitleStatusHype
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
Image Classification using Combination of Topological Features and Neural Networks—0
Image Classification using CNN for Traffic Signs in Pakistan—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
DaTscan SPECT Image Classification for Parkinson's Disease—0
Autoencoders with Intrinsic Dimension Constraints for Learning Low Dimensional Image Representations—0
Image Classification on IoT Edge Devices: Profiling and Modeling—0
Image Classification on Accelerated Neural Networks—0
Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers—0
Data-Side Efficiencies for Lightweight Convolutional Neural Networks—0
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks—0
A Linear Approximation to the chi^2 Kernel with Geometric Convergence—0
Adaptive Active Learning for Image Classification—0
Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines—0
Image classification network enhancement methods based on knowledge injection—0
Image Classification in the Dark using Quanta Image Sensors—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations—0
Image classification by visual bag-of-words refinement and reduction—0
Dataset Distillation for Histopathology Image Classification—0
Exploring Localization for Self-supervised Fine-grained Contrastive Learning—0
Image Classification by Feature Dimension Reduction and Graph based Ranking—0
Image Classification base on PCA of Multi-view Deep Representation—0
Image classification based on support vector machine and the fusion of complementary features—0
Image Classification Based on Quantum KNN Algorithm—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