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 32113220 of 10420 papers

TitleStatusHype
What Do Single-view 3D Reconstruction Networks Learn?0
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron0
Do More Dropouts in Pool5 Feature Maps for Better Object Detection0
Bundle Optimization for Multi-aspect Embedding0
Exploiting Patch Sizes and Resolutions for Multi-Scale Deep Learning in Mammogram Image Classification0
Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis0
Exploring Camera Encoder Designs for Autonomous Driving Perception0
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights0
DiRaC-I: Identifying Diverse and Rare Training Classes for Zero-Shot Learning0
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations0
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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