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 23012310 of 10420 papers

TitleStatusHype
Art Authentication with Vision Transformers0
A Base Model Selection Methodology for Efficient Fine-Tuning0
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification0
Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach0
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset0
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art0
A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning0
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models0
Competitive Multi-scale Convolution0
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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