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 28012810 of 10420 papers

TitleStatusHype
Efficient Whole Slide Image Classification through Fisher Vector Representation0
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management0
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution0
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks0
CC-Loss: Channel Correlation Loss For Image Classification0
CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination0
Efficient Transformations in Deep Learning Convolutional Neural Networks0
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification0
Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection0
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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