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 36813690 of 10420 papers

TitleStatusHype
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery0
Evaluating Deep Convolutional Neural Networks for Material Classification0
Focused Active Learning for Histopathological Image Classification0
c-Eval: A Unified Metric to Evaluate Feature-based Explanations via Perturbation0
ClickBAIT: Click-based Accelerated Incremental Training of Convolutional Neural Networks0
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery0
Detection of concealed cars in complex cargo X-ray imagery using Deep Learning0
Detection of Children Abuse by Voice and Audio Classification by Short-Time Fourier Transform Machine Learning implemented on Nvidia Edge GPU device0
ClickBAIT-v2: Training an Object Detector in Real-Time0
BFO Meets HOG: Feature Extraction Based on Histograms of Oriented p.d.f. Gradients for Image Classification0
Show:102550
← PrevPage 369 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