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 21912200 of 10420 papers

TitleStatusHype
An Improved CNN-based Neural Network Model for Fruit Sugar Level Detection0
SENetV2: Aggregated dense layer for channelwise and global representationsCode0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask0
Supervised structure learning0
Learning transformer-based heterogeneously salient graph representation for multimodal remote sensing image classification0
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients0
Assurance for Deployed Continual Learning Systems0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption0
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images0
Domain Aligned CLIP for Few-shot Classification0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified