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 5176–5200 of 10420 papers

TitleStatusHype
A Comprehensive Study of Vision Transformers in Image Classification Tasks—0
A2S-NAS: Asymmetric Spectral-Spatial Neural Architecture Search For Hyperspectral Image Classification—0
Enhancing Transformers Through Conditioned Embedded Tokens—0
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study—0
Enhancing the Regularization Effect of Weight Pruning in Artificial Neural Networks—0
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets—0
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information—0
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks—0
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data—0
Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer—0
Enhancing Robustness of Machine Learning Systems via Data Transformations—0
Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification—0
APAC: Augmented PAttern Classification with Neural Networks—0
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication—0
Enhancing Representations through Heterogeneous Self-Supervised Learning—0
Enhancing Post-Hoc Explanation Benchmark Reliability for Image Classification—0
Enhancing Performance of Vision Transformers on Small Datasets through Local Inductive Bias Incorporation—0
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
Enhancing Neural Training via a Correlated Dynamics Model—0
Classification of Skin Cancer Images using Convolutional Neural Networks—0
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization—0
Classification of remote sensing images using attribute profiles and feature profiles from different trees: a comparative study—0
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment—0
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach—0
Show:102550
← PrevPage 208 of 417Next →
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