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 9701–9725 of 10420 papers

TitleStatusHype
Image classification network enhancement methods based on knowledge injection—0
Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines—0
Image Classification of Stroke Blood Clot Origin using Deep Convolutional Neural Networks and Visual Transformers—0
Image Classification on Accelerated Neural Networks—0
Image Classification on IoT Edge Devices: Profiling and Modeling—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
Image Classification using CNN for Traffic Signs in Pakistan—0
Image Classification using Combination of Topological Features and Neural Networks—0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels—0
Image classification using local tensor singular value decompositions—0
Image classification using quantum inference on the D-Wave 2X—0
Image Classification using Sequence of Pixels—0
Image Classification via Quantum Machine Learning—0
Image Classification with A Deep Network Model based on Compressive Sensing—0
Image Classification with Consistent Supporting Evidence—0
Image Classification with Deep Reinforcement Active Learning—0
Image Classification with Rejection using Contextual Information—0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Image Class Translation Distance: A Novel Interpretable Feature for Image Classification—0
Image Colorization By Capsule Networks—0
Image Colorization Using a Deep Convolutional Neural Network—0
Image Compression and Classification Using Qubits and Quantum Deep Learning—0
Image Credibility Analysis with Effective Domain Transferred Deep Networks—0
Image Data Augmentation for Deep Learning: A Survey—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