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 35613570 of 10420 papers

TitleStatusHype
Energy-entropy competition and the effectiveness of stochastic gradient descent in machine learning0
Development Of A Fire Detection System On Satellite Images0
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm0
Classification and Retrieval of Digital Pathology Scans: A New Dataset0
Enhanced Attacks on Defensively Distilled Deep Neural Networks0
Enhanced Gradient for Differentiable Architecture Search0
Developing a Recommendation Benchmark for MLPerf Training and Inference0
Enhanced Image Classification With Data Augmentation Using Position Coordinates0
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification0
DetNet: Design Backbone for Object Detection0
Show:102550
← PrevPage 357 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
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