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 38513860 of 10420 papers

TitleStatusHype
Dataset Condensation Driven Machine UnlearningCode0
Towards Image Semantics and Syntax Sequence LearningCode0
Towards Physical Plausibility in Neuroevolution SystemsCode0
Deep Learning-Driven Approach for Handwritten Chinese Character Classification0
Selection of gamma events from IACT images with deep learning methods0
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs0
Generating Multi-Center Classifier via Conditional Gaussian DistributionCode0
Few and Fewer: Learning Better from Few Examples Using Fewer Base ClassesCode0
Exploring the Transferability of a Foundation Model for Fundus Images: Application to Hypertensive Retinopathy0
Memory-Inspired Temporal Prompt Interaction for Text-Image 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
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