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 28712880 of 10420 papers

TitleStatusHype
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data0
Endoscopy Classification Model Using Swin Transformer and Saliency Map0
End-to-End Anti-Backdoor Learning on Images and Time Series0
End-to-end optimized image compression for multiple machine tasks0
Can We Infer Confidential Properties of Training Data from LLMs?0
Can weight sharing outperform random architecture search? An investigation with TuNAS0
An Interactive Explanatory AI System for Industrial Quality Control0
Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks?0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding0
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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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified