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 25312540 of 10420 papers

TitleStatusHype
Understanding Intrinsic Robustness Using Label UncertaintyCode0
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited LearningCode0
Interpretable and Interactive Deep Multiple Instance Learning for Dental Caries Classification in Bitewing X-raysCode0
Latent State Models of Training DynamicsCode0
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural NetworksCode0
Classification Metrics for Image Explanations: Towards Building Reliable XAI-EvaluationsCode0
Adversarial Augmentation for Enhancing Classification of Mammography ImagesCode0
Improvising the Learning of Neural Networks on Hyperspherical ManifoldCode0
Improving the trustworthiness of image classification models by utilizing bounding-box annotationsCode0
Improving Transferability of Adversarial Examples with Input DiversityCode0
Show:102550
← PrevPage 254 of 1042Next →

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