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 42414250 of 10420 papers

TitleStatusHype
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image ClassificationCode1
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations0
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming0
How to Combine Variational Bayesian Networks in Federated LearningCode1
ROSE: A RObust and SEcure DNN Watermarking0
Vicinity Vision TransformerCode1
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision ApplicationsCode2
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural NetworksCode1
VulCNN: An Image-inspired Scalable Vulnerability Detection SystemCode1
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network0
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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