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 30013010 of 10420 papers

TitleStatusHype
A Neural Markovian Multiresolution Image Labeling Algorithm0
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning0
Brain tumor grade classification Using LSTM Neural Networks with Domain Pre-Transforms0
A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation0
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network0
Brain Tumor Classification Using Medial Residual Encoder Layers0
A Network Framework for Noisy Label Aggregation in Social Media0
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification0
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic Learning0
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading0
Show:102550
← PrevPage 301 of 1042Next →

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