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 7201–7225 of 10420 papers

TitleStatusHype
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study—0
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery—0
Efficient Online ML API Selection for Multi-Label Classification Tasks—0
Frozen Feature Augmentation for Few-Shot Image Classification—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
Frost filtered scale-invariant feature extraction and multilayer perceptron for hyperspectral image classification—0
A Study for Universal Adversarial Attacks on Texture Recognition—0
ORXE: Orchestrating Experts for Dynamically Configurable Efficiency—0
OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization—0
Outliers resistant image classification by anomaly detection—0
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks—0
Enhancing Representations through Heterogeneous Self-Supervised Learning—0
Out-of-Distribution Detection for Dermoscopic Image Classification—0
Out-of-distribution detection in satellite image classification—0
A Generalization Theory based on Independent and Task-Identically Distributed Assumption—0
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters—0
A Structurally Regularized Convolutional Neural Network for Image Classification using Wavelet-based SubBand Decomposition—0
Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRA—0
Output Range Analysis for Deep Neural Networks—0
Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer—0
Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network—0
From visual words to a visual grammar: using language modelling for image classification—0
Overcoming label shift in targeted federated learning—0
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets—0
A Structurally Regularized CNN Architecture via Adaptive Subband Decomposition—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