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

Showing 18711880 of 10420 papers

TitleStatusHype
Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensembleCode0
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense0
A novel spatial-frequency domain network for zero-shot incremental learning0
For Better or For Worse? Learning Minimum Variance Features With Label Augmentation0
Latent Enhancing AutoEncoder for Occluded Image Classification0
Feature Density Estimation for Out-of-Distribution Detection via Normalizing Flows0
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks0
SAE: Single Architecture Ensemble Neural Networks0
The SkipSponge Attack: Sponge Weight Poisoning of Deep Neural Networks0
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive SurveyCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified